0s autopkgtest [09:49:46]: starting date and time: 2025-02-20 09:49:46+0000
0s autopkgtest [09:49:46]: git checkout: 325255d2 Merge branch 'pin-any-arch' into 'ubuntu/production'
0s autopkgtest [09:49:46]: host juju-7f2275-prod-proposed-migration-environment-2; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.q1w1c8mq/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:sphinx --apt-upgrade statsmodels --timeout-short=300 --timeout-copy=20000 --timeout-test=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=sphinx/8.1.3-5 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-big-ppc64el --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-2@bos03-ppc64el-39.secgroup --name adt-plucky-ppc64el-statsmodels-20250220-094946-juju-7f2275-prod-proposed-migration-environment-2-9647919c-f4cd-4e77-8d48-a4c909fecb8d --image adt/ubuntu-plucky-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-2 --net-id=net_prod-proposed-migration-ppc64el -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,radosgw.ps5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/
96s autopkgtest [09:51:22]: testbed dpkg architecture: ppc64el
96s autopkgtest [09:51:22]: testbed apt version: 2.9.30
97s autopkgtest [09:51:23]: @@@@@@@@@@@@@@@@@@@@ test bed setup
97s autopkgtest [09:51:23]: testbed release detected to be: None
98s autopkgtest [09:51:24]: updating testbed package index (apt update)
98s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [110 kB]
98s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease
98s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease
99s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease
99s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [782 kB]
99s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [87.1 kB]
99s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/restricted Sources [3120 B]
99s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [15.5 kB]
99s Get:9 http://ftpmaster.internal/ubuntu plucky-proposed/main ppc64el Packages [124 kB]
99s Get:10 http://ftpmaster.internal/ubuntu plucky-proposed/restricted ppc64el Packages [760 B]
99s Get:11 http://ftpmaster.internal/ubuntu plucky-proposed/universe ppc64el Packages [719 kB]
99s Get:12 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse ppc64el Packages [5568 B]
100s Fetched 1847 kB in 2s (1127 kB/s)
101s Reading package lists...
102s Reading package lists...
102s Building dependency tree...
102s Reading state information...
103s Calculating upgrade...
103s The following packages will be upgraded:
103s fwupd libfwupd3
103s 2 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
103s Need to get 5618 kB of archives.
103s After this operation, 9216 B of additional disk space will be used.
103s Get:1 http://ftpmaster.internal/ubuntu plucky/main ppc64el fwupd ppc64el 2.0.6-3 [5481 kB]
106s Get:2 http://ftpmaster.internal/ubuntu plucky/main ppc64el libfwupd3 ppc64el 2.0.6-3 [137 kB]
107s Fetched 5618 kB in 4s (1578 kB/s)
107s (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 ... 106370 files and directories currently installed.)
107s Preparing to unpack .../fwupd_2.0.6-3_ppc64el.deb ...
107s Unpacking fwupd (2.0.6-3) over (2.0.5-1) ...
108s Preparing to unpack .../libfwupd3_2.0.6-3_ppc64el.deb ...
108s Unpacking libfwupd3:ppc64el (2.0.6-3) over (2.0.5-1) ...
108s Setting up libfwupd3:ppc64el (2.0.6-3) ...
108s Setting up fwupd (2.0.6-3) ...
108s fwupd-refresh.service is a disabled or a static unit not running, not starting it.
108s fwupd.service is a disabled or a static unit not running, not starting it.
108s Processing triggers for man-db (2.13.0-1) ...
110s Processing triggers for dbus (1.16.0-1ubuntu1) ...
110s Processing triggers for libc-bin (2.40-4ubuntu1) ...
110s Reading package lists...
111s Building dependency tree...
111s Reading state information...
112s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
112s autopkgtest [09:51:38]: upgrading testbed (apt dist-upgrade and autopurge)
112s Reading package lists...
112s Building dependency tree...
112s Reading state information...
113s Calculating upgrade...Starting pkgProblemResolver with broken count: 0
113s Starting 2 pkgProblemResolver with broken count: 0
113s Done
113s Entering ResolveByKeep
114s
114s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
114s Reading package lists...
114s Building dependency tree...
114s Reading state information...
115s Starting pkgProblemResolver with broken count: 0
115s Starting 2 pkgProblemResolver with broken count: 0
115s Done
115s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
115s autopkgtest [09:51:41]: rebooting testbed after setup commands that affected boot
150s autopkgtest-virt-ssh: WARNING: ssh connection failed. Retrying in 3 seconds...
166s autopkgtest [09:52:32]: testbed running kernel: Linux 6.12.0-15-generic #15-Ubuntu SMP Tue Feb 4 16:32:08 UTC 2025
170s autopkgtest [09:52:36]: @@@@@@@@@@@@@@@@@@@@ apt-source statsmodels
177s Get:1 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build2 (dsc) [3694 B]
177s Get:2 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build2 (tar) [12.1 MB]
177s Get:3 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build2 (diff) [36.0 kB]
178s gpgv: Signature made Wed Jan 29 20:17:35 2025 UTC
178s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2
178s gpgv: Can't check signature: No public key
178s dpkg-source: warning: cannot verify inline signature for ./statsmodels_0.14.4+dfsg-1build2.dsc: no acceptable signature found
179s autopkgtest [09:52:45]: testing package statsmodels version 0.14.4+dfsg-1build2
180s autopkgtest [09:52:46]: build not needed
182s autopkgtest [09:52:48]: test upstreamtests: preparing testbed
182s Reading package lists...
183s Building dependency tree...
183s Reading state information...
183s Starting pkgProblemResolver with broken count: 0
183s Starting 2 pkgProblemResolver with broken count: 0
183s Done
183s The following NEW packages will be installed:
183s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libamd3
183s libblas3 libcamd3 libccolamd3 libcholmod5 libcolamd3 libdeflate0
183s libdsdp-5.8t64 libfftw3-double3 libfontconfig1 libgfortran5 libglpk40
183s libgomp1 libgraphite2-3 libgsl28 libgslcblas0 libharfbuzz0b libimagequant0
183s libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3
183s liblbfgsb0 liblcms2-2 liblerc4 libltdl7 libopenjp2-7 libqhull-r8.0 libraqm0
183s libsharpyuv0 libsuitesparseconfig7 libtcl8.6 libtiff6 libtk8.6 libumfpack6
183s libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1
183s python-matplotlib-data python3-all python3-brotli python3-colorama
183s python3-contourpy python3-cvxopt python3-cycler python3-dateutil
183s python3-decorator python3-fonttools python3-fs python3-iniconfig
183s python3-joblib python3-kiwisolver python3-lxml python3-lz4
183s python3-matplotlib python3-mpmath python3-numpy python3-packaging
183s python3-pandas python3-pandas-lib python3-patsy python3-pil
183s python3-pil.imagetk python3-platformdirs python3-pluggy python3-pytest
183s python3-pytz python3-scipy python3-statsmodels python3-statsmodels-lib
183s python3-sympy python3-tk python3-tz python3-ufolib2 python3.12
183s python3.12-minimal python3.12-tk python3.13-tk tk8.6-blt2.5 unicode-data
183s x11-common
184s 0 upgraded, 92 newly installed, 0 to remove and 0 not upgraded.
184s Need to get 93.2 MB of archives.
184s After this operation, 502 MB of additional disk space will be used.
184s Get:1 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3.12-minimal ppc64el 3.12.9-1 [2465 kB]
184s Get:2 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3.12 ppc64el 3.12.9-1 [671 kB]
184s Get:3 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtcl8.6 ppc64el 8.6.16+dfsg-1 [1201 kB]
185s Get:4 http://ftpmaster.internal/ubuntu plucky/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB]
185s Get:5 http://ftpmaster.internal/ubuntu plucky/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB]
185s Get:6 http://ftpmaster.internal/ubuntu plucky/main ppc64el fontconfig-config ppc64el 2.15.0-2ubuntu1 [37.5 kB]
185s Get:7 http://ftpmaster.internal/ubuntu plucky/main ppc64el libfontconfig1 ppc64el 2.15.0-2ubuntu1 [188 kB]
185s Get:8 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1build1 [23.1 kB]
185s Get:9 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB]
185s Get:10 http://ftpmaster.internal/ubuntu plucky/main ppc64el x11-common all 1:7.7+23ubuntu3 [21.7 kB]
185s Get:11 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B]
185s Get:12 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtk8.6 ppc64el 8.6.16-1 [946 kB]
185s Get:13 http://ftpmaster.internal/ubuntu plucky/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-7build1 [784 kB]
185s Get:14 http://ftpmaster.internal/ubuntu plucky/main ppc64el blt ppc64el 2.5.3+dfsg-7build1 [4840 B]
185s Get:15 http://ftpmaster.internal/ubuntu plucky/universe ppc64el fonts-lyx all 2.4.3-1 [171 kB]
185s Get:16 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgomp1 ppc64el 15-20250213-1ubuntu1 [168 kB]
185s Get:17 http://ftpmaster.internal/ubuntu plucky/main ppc64el libsuitesparseconfig7 ppc64el 1:7.8.3+dfsg-3 [13.3 kB]
185s Get:18 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libamd3 ppc64el 1:7.8.3+dfsg-3 [37.3 kB]
185s Get:19 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblas3 ppc64el 3.12.1-2 [239 kB]
185s Get:20 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libcamd3 ppc64el 1:7.8.3+dfsg-3 [30.8 kB]
185s Get:21 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libccolamd3 ppc64el 1:7.8.3+dfsg-3 [31.5 kB]
185s Get:22 http://ftpmaster.internal/ubuntu plucky/main ppc64el libcolamd3 ppc64el 1:7.8.3+dfsg-3 [21.5 kB]
185s Get:23 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgfortran5 ppc64el 15-20250213-1ubuntu1 [613 kB]
185s Get:24 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblapack3 ppc64el 3.12.1-2 [2813 kB]
185s Get:25 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libcholmod5 ppc64el 1:7.8.3+dfsg-3 [906 kB]
185s Get:26 http://ftpmaster.internal/ubuntu plucky/main ppc64el libdeflate0 ppc64el 1.23-1 [63.4 kB]
185s Get:27 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libdsdp-5.8t64 ppc64el 5.8-10.1build1 [224 kB]
185s Get:28 http://ftpmaster.internal/ubuntu plucky/main ppc64el libfftw3-double3 ppc64el 3.3.10-2fakesync1build1 [443 kB]
185s Get:29 http://ftpmaster.internal/ubuntu plucky/main ppc64el libltdl7 ppc64el 2.5.4-3build1 [50.3 kB]
185s Get:30 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libglpk40 ppc64el 5.0-1build2 [467 kB]
186s Get:31 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgraphite2-3 ppc64el 1.3.14-2ubuntu1 [84.6 kB]
186s Get:32 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libgslcblas0 ppc64el 2.8+dfsg-5 [276 kB]
186s Get:33 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libgsl28 ppc64el 2.8+dfsg-5 [1394 kB]
186s Get:34 http://ftpmaster.internal/ubuntu plucky/main ppc64el libharfbuzz0b ppc64el 10.2.0-1 [598 kB]
186s Get:35 http://ftpmaster.internal/ubuntu plucky/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB]
186s Get:36 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-3ubuntu2 [215 kB]
186s Get:37 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B]
186s Get:38 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB]
186s Get:39 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB]
186s Get:40 http://ftpmaster.internal/ubuntu plucky/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB]
186s Get:41 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblcms2-2 ppc64el 2.16-2 [243 kB]
186s Get:42 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblerc4 ppc64el 4.0.0+ds-5ubuntu1 [298 kB]
186s Get:43 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB]
186s Get:44 http://ftpmaster.internal/ubuntu plucky/main ppc64el libraqm0 ppc64el 0.10.2-1 [19.2 kB]
186s Get:45 http://ftpmaster.internal/ubuntu plucky/main ppc64el libsharpyuv0 ppc64el 1.5.0-0.1 [22.3 kB]
186s Get:46 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu2 [35.9 kB]
186s Get:47 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebp7 ppc64el 1.5.0-0.1 [315 kB]
186s Get:48 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtiff6 ppc64el 4.5.1+git230720-4ubuntu4 [272 kB]
186s Get:49 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libumfpack6 ppc64el 1:7.8.3+dfsg-3 [335 kB]
186s Get:50 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebpdemux2 ppc64el 1.5.0-0.1 [14.6 kB]
186s Get:51 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebpmux3 ppc64el 1.5.0-0.1 [31.1 kB]
186s Get:52 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1ubuntu2 [191 kB]
186s Get:53 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python-matplotlib-data all 3.8.3-3ubuntu2 [2929 kB]
186s Get:54 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-all ppc64el 3.13.1-1~exp2 [896 B]
186s Get:55 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-brotli ppc64el 1.1.0-2build3 [423 kB]
186s Get:56 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-colorama all 0.4.6-4 [32.1 kB]
186s Get:57 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-numpy ppc64el 1:1.26.4+ds-13 [5146 kB]
186s Get:58 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-contourpy ppc64el 1.3.1-1 [260 kB]
186s Get:59 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-cvxopt ppc64el 1.3.0+dfsg-1build8 [307 kB]
186s Get:60 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-cycler all 0.12.1-1 [9716 B]
186s Get:61 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-dateutil all 2.9.0-3 [80.2 kB]
186s Get:62 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB]
186s Get:63 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-pytz all 2025.1-3 [162 kB]
186s Get:64 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-tz all 2025.1-3 [1866 B]
186s Get:65 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-platformdirs all 4.3.6-1 [16.8 kB]
186s Get:66 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-fs all 2.4.16-6 [90.7 kB]
186s Get:67 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-lxml ppc64el 5.3.1-1 [1752 kB]
186s Get:68 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-lz4 ppc64el 4.4.0+dfsg-1 [28.3 kB]
186s Get:69 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-scipy ppc64el 1.14.1-4ubuntu1 [22.7 MB]
187s Get:70 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB]
187s Get:71 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-sympy all 1.13.3-1 [4228 kB]
187s Get:72 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB]
187s Get:73 http://ftpmaster.internal/ubuntu plucky/universe ppc64el unicode-data all 15.1.0-1 [8878 kB]
187s Get:74 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-fonttools ppc64el 4.55.3-2 [1722 kB]
187s Get:75 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-iniconfig all 1.1.1-2 [6024 B]
187s Get:76 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-joblib all 1.4.2-2 [205 kB]
187s Get:77 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-kiwisolver ppc64el 1.4.7-3 [73.2 kB]
187s Get:78 http://ftpmaster.internal/ubuntu plucky/main ppc64el libopenjp2-7 ppc64el 2.5.0-2ubuntu3 [247 kB]
187s Get:79 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-pil ppc64el 11.1.0-5 [618 kB]
187s Get:80 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3.12-tk ppc64el 3.12.9-1 [116 kB]
188s Get:81 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3.13-tk ppc64el 3.13.2-1 [107 kB]
188s Get:82 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-tk ppc64el 3.13.1-1 [9772 B]
188s Get:83 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pil.imagetk ppc64el 11.1.0-5 [10.4 kB]
188s Get:84 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-packaging all 24.2-1 [51.5 kB]
188s Get:85 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-matplotlib ppc64el 3.8.3-3ubuntu2 [4709 kB]
188s Get:86 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pandas-lib ppc64el 2.2.3+dfsg-8 [7343 kB]
188s Get:87 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pandas all 2.2.3+dfsg-8 [3112 kB]
188s Get:88 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-patsy all 1.0.1-1 [180 kB]
188s Get:89 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pluggy all 1.5.0-1 [21.0 kB]
188s Get:90 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pytest all 8.3.4-1 [252 kB]
188s Get:91 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-statsmodels-lib ppc64el 0.14.4+dfsg-1build2 [2657 kB]
188s Get:92 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-statsmodels all 0.14.4+dfsg-1build2 [5012 kB]
189s Fetched 93.2 MB in 5s (19.6 MB/s)
189s Selecting previously unselected package python3.12-minimal.
189s (Reading database ...
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(Reading database ... 45%
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(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 106370 files and directories currently installed.)
189s Preparing to unpack .../00-python3.12-minimal_3.12.9-1_ppc64el.deb ...
189s Unpacking python3.12-minimal (3.12.9-1) ...
189s Selecting previously unselected package python3.12.
189s Preparing to unpack .../01-python3.12_3.12.9-1_ppc64el.deb ...
189s Unpacking python3.12 (3.12.9-1) ...
189s Selecting previously unselected package libtcl8.6:ppc64el.
189s Preparing to unpack .../02-libtcl8.6_8.6.16+dfsg-1_ppc64el.deb ...
189s Unpacking libtcl8.6:ppc64el (8.6.16+dfsg-1) ...
189s Selecting previously unselected package fonts-dejavu-mono.
189s Preparing to unpack .../03-fonts-dejavu-mono_2.37-8_all.deb ...
189s Unpacking fonts-dejavu-mono (2.37-8) ...
189s Selecting previously unselected package fonts-dejavu-core.
189s Preparing to unpack .../04-fonts-dejavu-core_2.37-8_all.deb ...
189s Unpacking fonts-dejavu-core (2.37-8) ...
189s Selecting previously unselected package fontconfig-config.
189s Preparing to unpack .../05-fontconfig-config_2.15.0-2ubuntu1_ppc64el.deb ...
190s Unpacking fontconfig-config (2.15.0-2ubuntu1) ...
190s Selecting previously unselected package libfontconfig1:ppc64el.
190s Preparing to unpack .../06-libfontconfig1_2.15.0-2ubuntu1_ppc64el.deb ...
190s Unpacking libfontconfig1:ppc64el (2.15.0-2ubuntu1) ...
190s Selecting previously unselected package libxrender1:ppc64el.
190s Preparing to unpack .../07-libxrender1_1%3a0.9.10-1.1build1_ppc64el.deb ...
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190s Selecting previously unselected package libxft2:ppc64el.
190s Preparing to unpack .../08-libxft2_2.3.6-1build1_ppc64el.deb ...
190s Unpacking libxft2:ppc64el (2.3.6-1build1) ...
190s Selecting previously unselected package x11-common.
190s Preparing to unpack .../09-x11-common_1%3a7.7+23ubuntu3_all.deb ...
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190s Selecting previously unselected package libxss1:ppc64el.
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190s Selecting previously unselected package libtk8.6:ppc64el.
190s Preparing to unpack .../11-libtk8.6_8.6.16-1_ppc64el.deb ...
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190s Selecting previously unselected package tk8.6-blt2.5.
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190s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-7build1) ...
190s Selecting previously unselected package blt.
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190s Unpacking blt (2.5.3+dfsg-7build1) ...
190s Selecting previously unselected package fonts-lyx.
190s Preparing to unpack .../14-fonts-lyx_2.4.3-1_all.deb ...
190s Unpacking fonts-lyx (2.4.3-1) ...
190s Selecting previously unselected package libgomp1:ppc64el.
190s Preparing to unpack .../15-libgomp1_15-20250213-1ubuntu1_ppc64el.deb ...
190s Unpacking libgomp1:ppc64el (15-20250213-1ubuntu1) ...
190s Selecting previously unselected package libsuitesparseconfig7:ppc64el.
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190s Unpacking libsuitesparseconfig7:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libamd3:ppc64el.
190s Preparing to unpack .../17-libamd3_1%3a7.8.3+dfsg-3_ppc64el.deb ...
190s Unpacking libamd3:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libblas3:ppc64el.
190s Preparing to unpack .../18-libblas3_3.12.1-2_ppc64el.deb ...
190s Unpacking libblas3:ppc64el (3.12.1-2) ...
190s Selecting previously unselected package libcamd3:ppc64el.
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190s Unpacking libcamd3:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libccolamd3:ppc64el.
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190s Unpacking libccolamd3:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libcolamd3:ppc64el.
190s Preparing to unpack .../21-libcolamd3_1%3a7.8.3+dfsg-3_ppc64el.deb ...
190s Unpacking libcolamd3:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libgfortran5:ppc64el.
190s Preparing to unpack .../22-libgfortran5_15-20250213-1ubuntu1_ppc64el.deb ...
190s Unpacking libgfortran5:ppc64el (15-20250213-1ubuntu1) ...
190s Selecting previously unselected package liblapack3:ppc64el.
190s Preparing to unpack .../23-liblapack3_3.12.1-2_ppc64el.deb ...
190s Unpacking liblapack3:ppc64el (3.12.1-2) ...
190s Selecting previously unselected package libcholmod5:ppc64el.
190s Preparing to unpack .../24-libcholmod5_1%3a7.8.3+dfsg-3_ppc64el.deb ...
190s Unpacking libcholmod5:ppc64el (1:7.8.3+dfsg-3) ...
190s Selecting previously unselected package libdeflate0:ppc64el.
190s Preparing to unpack .../25-libdeflate0_1.23-1_ppc64el.deb ...
190s Unpacking libdeflate0:ppc64el (1.23-1) ...
190s Selecting previously unselected package libdsdp-5.8t64.
190s Preparing to unpack .../26-libdsdp-5.8t64_5.8-10.1build1_ppc64el.deb ...
190s Unpacking libdsdp-5.8t64 (5.8-10.1build1) ...
191s Selecting previously unselected package libfftw3-double3:ppc64el.
191s Preparing to unpack .../27-libfftw3-double3_3.3.10-2fakesync1build1_ppc64el.deb ...
191s Unpacking libfftw3-double3:ppc64el (3.3.10-2fakesync1build1) ...
191s Selecting previously unselected package libltdl7:ppc64el.
191s Preparing to unpack .../28-libltdl7_2.5.4-3build1_ppc64el.deb ...
191s Unpacking libltdl7:ppc64el (2.5.4-3build1) ...
191s Selecting previously unselected package libglpk40:ppc64el.
191s Preparing to unpack .../29-libglpk40_5.0-1build2_ppc64el.deb ...
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191s Selecting previously unselected package libgraphite2-3:ppc64el.
191s Preparing to unpack .../30-libgraphite2-3_1.3.14-2ubuntu1_ppc64el.deb ...
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191s Selecting previously unselected package libgslcblas0:ppc64el.
191s Preparing to unpack .../31-libgslcblas0_2.8+dfsg-5_ppc64el.deb ...
191s Unpacking libgslcblas0:ppc64el (2.8+dfsg-5) ...
191s Selecting previously unselected package libgsl28:ppc64el.
191s Preparing to unpack .../32-libgsl28_2.8+dfsg-5_ppc64el.deb ...
191s Unpacking libgsl28:ppc64el (2.8+dfsg-5) ...
191s Selecting previously unselected package libharfbuzz0b:ppc64el.
191s Preparing to unpack .../33-libharfbuzz0b_10.2.0-1_ppc64el.deb ...
191s Unpacking libharfbuzz0b:ppc64el (10.2.0-1) ...
191s Selecting previously unselected package libimagequant0:ppc64el.
191s Preparing to unpack .../34-libimagequant0_2.18.0-1build1_ppc64el.deb ...
191s Unpacking libimagequant0:ppc64el (2.18.0-1build1) ...
191s Selecting previously unselected package libjpeg-turbo8:ppc64el.
191s Preparing to unpack .../35-libjpeg-turbo8_2.1.5-3ubuntu2_ppc64el.deb ...
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191s Selecting previously unselected package libjpeg8:ppc64el.
191s Preparing to unpack .../36-libjpeg8_8c-2ubuntu11_ppc64el.deb ...
191s Unpacking libjpeg8:ppc64el (8c-2ubuntu11) ...
191s Selecting previously unselected package libjs-jquery.
191s Preparing to unpack .../37-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ...
191s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
191s Selecting previously unselected package libjs-jquery-ui.
191s Preparing to unpack .../38-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ...
191s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ...
191s Selecting previously unselected package liblbfgsb0:ppc64el.
191s Preparing to unpack .../39-liblbfgsb0_3.0+dfsg.4-1build1_ppc64el.deb ...
191s Unpacking liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ...
191s Selecting previously unselected package liblcms2-2:ppc64el.
191s Preparing to unpack .../40-liblcms2-2_2.16-2_ppc64el.deb ...
191s Unpacking liblcms2-2:ppc64el (2.16-2) ...
191s Selecting previously unselected package liblerc4:ppc64el.
191s Preparing to unpack .../41-liblerc4_4.0.0+ds-5ubuntu1_ppc64el.deb ...
191s Unpacking liblerc4:ppc64el (4.0.0+ds-5ubuntu1) ...
191s Selecting previously unselected package libqhull-r8.0:ppc64el.
191s Preparing to unpack .../42-libqhull-r8.0_2020.2-6build1_ppc64el.deb ...
191s Unpacking libqhull-r8.0:ppc64el (2020.2-6build1) ...
191s Selecting previously unselected package libraqm0:ppc64el.
191s Preparing to unpack .../43-libraqm0_0.10.2-1_ppc64el.deb ...
191s Unpacking libraqm0:ppc64el (0.10.2-1) ...
191s Selecting previously unselected package libsharpyuv0:ppc64el.
191s Preparing to unpack .../44-libsharpyuv0_1.5.0-0.1_ppc64el.deb ...
191s Unpacking libsharpyuv0:ppc64el (1.5.0-0.1) ...
191s Selecting previously unselected package libjbig0:ppc64el.
191s Preparing to unpack .../45-libjbig0_2.1-6.1ubuntu2_ppc64el.deb ...
191s Unpacking libjbig0:ppc64el (2.1-6.1ubuntu2) ...
191s Selecting previously unselected package libwebp7:ppc64el.
191s Preparing to unpack .../46-libwebp7_1.5.0-0.1_ppc64el.deb ...
191s Unpacking libwebp7:ppc64el (1.5.0-0.1) ...
191s Selecting previously unselected package libtiff6:ppc64el.
191s Preparing to unpack .../47-libtiff6_4.5.1+git230720-4ubuntu4_ppc64el.deb ...
191s Unpacking libtiff6:ppc64el (4.5.1+git230720-4ubuntu4) ...
191s Selecting previously unselected package libumfpack6:ppc64el.
191s Preparing to unpack .../48-libumfpack6_1%3a7.8.3+dfsg-3_ppc64el.deb ...
191s Unpacking libumfpack6:ppc64el (1:7.8.3+dfsg-3) ...
191s Selecting previously unselected package libwebpdemux2:ppc64el.
191s Preparing to unpack .../49-libwebpdemux2_1.5.0-0.1_ppc64el.deb ...
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191s Selecting previously unselected package libwebpmux3:ppc64el.
191s Preparing to unpack .../50-libwebpmux3_1.5.0-0.1_ppc64el.deb ...
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191s Selecting previously unselected package libxslt1.1:ppc64el.
191s Preparing to unpack .../51-libxslt1.1_1.1.39-0exp1ubuntu2_ppc64el.deb ...
191s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1ubuntu2) ...
191s Selecting previously unselected package python-matplotlib-data.
191s Preparing to unpack .../52-python-matplotlib-data_3.8.3-3ubuntu2_all.deb ...
191s Unpacking python-matplotlib-data (3.8.3-3ubuntu2) ...
191s Selecting previously unselected package python3-all.
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191s Unpacking python3-all (3.13.1-1~exp2) ...
191s Selecting previously unselected package python3-brotli.
191s Preparing to unpack .../54-python3-brotli_1.1.0-2build3_ppc64el.deb ...
191s Unpacking python3-brotli (1.1.0-2build3) ...
191s Selecting previously unselected package python3-colorama.
191s Preparing to unpack .../55-python3-colorama_0.4.6-4_all.deb ...
191s Unpacking python3-colorama (0.4.6-4) ...
191s Selecting previously unselected package python3-numpy.
191s Preparing to unpack .../56-python3-numpy_1%3a1.26.4+ds-13_ppc64el.deb ...
191s Unpacking python3-numpy (1:1.26.4+ds-13) ...
192s Selecting previously unselected package python3-contourpy.
192s Preparing to unpack .../57-python3-contourpy_1.3.1-1_ppc64el.deb ...
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192s Selecting previously unselected package python3-cvxopt.
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192s Unpacking python3-cvxopt (1.3.0+dfsg-1build8) ...
192s Selecting previously unselected package python3-cycler.
192s Preparing to unpack .../59-python3-cycler_0.12.1-1_all.deb ...
192s Unpacking python3-cycler (0.12.1-1) ...
192s Selecting previously unselected package python3-dateutil.
192s Preparing to unpack .../60-python3-dateutil_2.9.0-3_all.deb ...
192s Unpacking python3-dateutil (2.9.0-3) ...
192s Selecting previously unselected package python3-decorator.
192s Preparing to unpack .../61-python3-decorator_5.1.1-5_all.deb ...
192s Unpacking python3-decorator (5.1.1-5) ...
192s Selecting previously unselected package python3-pytz.
192s Preparing to unpack .../62-python3-pytz_2025.1-3_all.deb ...
192s Unpacking python3-pytz (2025.1-3) ...
192s Selecting previously unselected package python3-tz.
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192s Unpacking python3-tz (2025.1-3) ...
192s Selecting previously unselected package python3-platformdirs.
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192s Unpacking python3-platformdirs (4.3.6-1) ...
192s Selecting previously unselected package python3-fs.
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192s Unpacking python3-fs (2.4.16-6) ...
192s Selecting previously unselected package python3-lxml:ppc64el.
192s Preparing to unpack .../66-python3-lxml_5.3.1-1_ppc64el.deb ...
192s Unpacking python3-lxml:ppc64el (5.3.1-1) ...
192s Selecting previously unselected package python3-lz4.
192s Preparing to unpack .../67-python3-lz4_4.4.0+dfsg-1_ppc64el.deb ...
192s Unpacking python3-lz4 (4.4.0+dfsg-1) ...
192s Selecting previously unselected package python3-scipy.
192s Preparing to unpack .../68-python3-scipy_1.14.1-4ubuntu1_ppc64el.deb ...
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193s Selecting previously unselected package python3-mpmath.
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194s Selecting previously unselected package python3-ufolib2.
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194s Selecting previously unselected package python3-iniconfig.
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194s Selecting previously unselected package python3-kiwisolver.
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194s Selecting previously unselected package libopenjp2-7:ppc64el.
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194s Selecting previously unselected package python3-pil:ppc64el.
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195s Selecting previously unselected package python3-pandas-lib:ppc64el.
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195s Selecting previously unselected package python3-patsy.
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195s Selecting previously unselected package python3-pytest.
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195s Selecting previously unselected package python3-statsmodels-lib:ppc64el.
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196s Selecting previously unselected package python3-statsmodels.
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196s Setting up libgraphite2-3:ppc64el (1.3.14-2ubuntu1) ...
196s Setting up liblcms2-2:ppc64el (2.16-2) ...
196s Setting up python3-iniconfig (1.1.1-2) ...
196s Setting up python3.12-minimal (3.12.9-1) ...
198s Setting up libsharpyuv0:ppc64el (1.5.0-0.1) ...
198s Setting up liblerc4:ppc64el (4.0.0+ds-5ubuntu1) ...
198s Setting up libxrender1:ppc64el (1:0.9.10-1.1build1) ...
198s Setting up libgslcblas0:ppc64el (2.8+dfsg-5) ...
198s Setting up python3-joblib (1.4.2-2) ...
199s Setting up python3-colorama (0.4.6-4) ...
199s Setting up python3-lz4 (4.4.0+dfsg-1) ...
200s Setting up fonts-lyx (2.4.3-1) ...
200s Setting up python3.12 (3.12.9-1) ...
202s Setting up x11-common (1:7.7+23ubuntu3) ...
203s Setting up libdeflate0:ppc64el (1.23-1) ...
203s Setting up libqhull-r8.0:ppc64el (2020.2-6build1) ...
203s Setting up python3-all (3.13.1-1~exp2) ...
203s Setting up python3-pytz (2025.1-3) ...
203s Setting up libgomp1:ppc64el (15-20250213-1ubuntu1) ...
203s Setting up libjbig0:ppc64el (2.1-6.1ubuntu2) ...
203s Setting up python3-platformdirs (4.3.6-1) ...
203s Setting up python3-tz (2025.1-3) ...
203s Setting up python3-fs (2.4.16-6) ...
204s Setting up unicode-data (15.1.0-1) ...
204s Setting up python3-decorator (5.1.1-5) ...
204s Setting up libblas3:ppc64el (3.12.1-2) ...
204s update-alternatives: using /usr/lib/powerpc64le-linux-gnu/blas/libblas.so.3 to provide /usr/lib/powerpc64le-linux-gnu/libblas.so.3 (libblas.so.3-powerpc64le-linux-gnu) in auto mode
204s Setting up python3-packaging (24.2-1) ...
204s Setting up python3-brotli (1.1.0-2build3) ...
205s Setting up python3-cycler (0.12.1-1) ...
205s Setting up libimagequant0:ppc64el (2.18.0-1build1) ...
205s Setting up fonts-dejavu-mono (2.37-8) ...
205s Setting up python3-kiwisolver (1.4.7-3) ...
205s Setting up libtcl8.6:ppc64el (8.6.16+dfsg-1) ...
205s Setting up fonts-dejavu-core (2.37-8) ...
205s Setting up libjpeg-turbo8:ppc64el (2.1.5-3ubuntu2) ...
205s Setting up libltdl7:ppc64el (2.5.4-3build1) ...
205s Setting up libfftw3-double3:ppc64el (3.3.10-2fakesync1build1) ...
205s Setting up libgfortran5:ppc64el (15-20250213-1ubuntu1) ...
205s Setting up python3-pluggy (1.5.0-1) ...
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292s autopkgtest [09:54:38]: test upstreamtests: [-----------------------
296s ============================= test session starts ==============================
296s platform linux -- Python 3.12.9, pytest-8.3.4, pluggy-1.5.0 -- /usr/bin/python3.12
296s cachedir: .pytest_cache
296s rootdir: /usr/lib/python3/dist-packages/statsmodels
296s configfile: setup.cfg
296s plugins: typeguard-4.4.1
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416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 3%]
416s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 3%]
417s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 3%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 4%]
418s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 4%]
419s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 4%]
420s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [ 4%]
429s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 4%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 5%]
430s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 5%]
431s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [ 5%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 5%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 5%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 5%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 6%]
432s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 6%]
433s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 6%]
434s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 6%]
435s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 6%]
436s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 6%]
437s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 6%]
438s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 6%]
439s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 6%]
439s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 6%]
439s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 6%]
439s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 6%]
440s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 6%]
441s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 6%]
442s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [ 6%]
444s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [ 6%]
444s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 6%]
444s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 6%]
444s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 6%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 6%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 6%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [ 6%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 6%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 7%]
445s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 7%]
446s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 7%]
446s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 7%]
446s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 7%]
446s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 7%]
446s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [ 7%]
447s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 7%]
448s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 7%]
449s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 7%]
449s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 7%]
450s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 7%]
450s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 7%]
451s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 7%]
452s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 7%]
453s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 7%]
454s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 7%]
455s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_distr PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 7%]
456s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 7%]
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564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_resid PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_params PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_se PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_resid PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_params PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_se PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_resid PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_params PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_se PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_resid PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_glm_attr PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_wald PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_params PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_se PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_resid PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_glm_attr PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_wald PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian_lists_tuples PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_logistic PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_plot PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 11%]
564s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 11%]
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566s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear_constrained PASSED [ 11%]
566s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_linear PASSED [ 11%]
567s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_pandas PASSED [ 11%]
572s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal PASSED [ 11%]
572s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_formula PASSED [ 11%]
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582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_formulas PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_logit PASSED [ 11%]
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582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure_lists PASSED [ 11%]
582s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 11%]
583s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 11%]
583s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 11%]
583s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 11%]
583s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 11%]
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592s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 11%]
598s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 11%]
601s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_cov_type PASSED [ 11%]
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603s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_regularized_gaussian PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 11%]
607s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 11%]
608s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 11%]
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608s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 11%]
608s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_unstructured_incomplete PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ar_covsolve PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ex_covsolve PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_stationary_covsolve PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_basic PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_resid PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_resid PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_basic PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_resid PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_basic PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_params PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_residuals PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_R PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_Stata PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_deviance PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_scale PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_loglike PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_pearson_chi2 PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_prsquared PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_get_distribution PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_residuals PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 11%]
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611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 11%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_prsquared PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_get_distribution PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 12%]
611s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 12%]
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615s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 13%]
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615s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 13%]
615s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 13%]
615s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_tpvalues PASSED [ 13%]
615s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 13%]
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619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_getprediction PASSED [ 14%]
619s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_getprediction PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 14%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
620s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_getprediction PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_getprediction PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_getprediction PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_getprediction PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 15%]
621s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_getprediction PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 15%]
622s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 15%]
623s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 15%]
624s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 15%]
624s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 15%]
626s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 15%]
628s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 15%]
628s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 15%]
630s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 15%]
632s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 15%]
633s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 15%]
633s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 15%]
633s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 15%]
633s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 15%]
634s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 15%]
635s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 15%]
635s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 15%]
637s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 15%]
638s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%]
638s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%]
638s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%]
640s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%]
640s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%]
640s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%]
640s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%]
640s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%]
641s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%]
646s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute SKIPPED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_plot SKIPPED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha SKIPPED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha SKIPPED [ 15%]
648s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold SKIPPED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp SKIPPED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%]
649s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%]
650s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%]
650s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%]
650s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%]
650s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%]
651s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%]
652s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%]
652s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%]
652s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%]
652s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%]
653s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%]
653s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%]
654s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%]
654s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%]
655s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%]
655s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%]
655s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%]
656s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%]
658s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%]
659s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 15%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 16%]
660s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 16%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt_lineoptions PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt_lineoptions PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_weibull PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_lininterp PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_piecewise PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_approx_med_unbiased PASSED [ 16%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_cunnane PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_param_unpacking PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels0] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels1] PASSED [ 16%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels0] PASSED [ 16%]
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701s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example PASSED [ 17%]
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707s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 18%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 18%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 18%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 18%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 18%]
708s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%]
709s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS SKIPPED [ 18%]
711s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML SKIPPED [ 18%]
712s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%]
712s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous SKIPPED [ 18%]
712s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%]
712s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS SKIPPED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient SKIPPED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient SKIPPED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom SKIPPED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%]
713s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS SKIPPED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS SKIPPED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata SKIPPED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf SKIPPED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient SKIPPED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 18%]
714s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 18%]
715s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls SKIPPED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient SKIPPED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls SKIPPED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic SKIPPED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous SKIPPED [ 18%]
717s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete SKIPPED [ 18%]
718s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data SKIPPED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data SKIPPED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data SKIPPED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data SKIPPED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data SKIPPED [ 18%]
720s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data SKIPPED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[False] PASSED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[True] PASSED [ 18%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_spike PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::test_xvals_dtype PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_coefficients PASSED [ 19%]
721s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_precision PASSED [ 19%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_degrees PASSED [ 26%]
897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_unscaled SKIPPED [ 26%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary PASSED [ 26%]
897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary2 PASSED [ 26%]
897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_chisq PASSED [ 26%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_params PASSED [ 26%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_confidenceintervals PASSED [ 26%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 26%]
897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 26%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 26%]
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898s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 26%]
898s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 26%]
898s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 26%]
898s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 26%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 26%]
901s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 26%]
901s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 26%]
901s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 26%]
901s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 26%]
901s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 26%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 26%]
903s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 26%]
904s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 26%]
904s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 26%]
906s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 26%]
906s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 26%]
917s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 26%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%]
918s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%]
919s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%]
920s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%]
921s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%]
922s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%]
923s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%]
924s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%]
924s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%]
924s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%]
924s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%]
924s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%]
925s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch SKIPPED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 27%]
926s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values SKIPPED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 27%]
927s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 27%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 28%]
928s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 28%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 28%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 28%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 28%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 28%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 28%]
934s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 28%]
934s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] SKIPPED [ 28%]
934s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] SKIPPED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 28%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_method PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_ttest PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_diff PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::test_deltacov_margeff PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_description_exceptions PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_description_basic PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_large_ntop PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_use_t PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 28%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[mode] PASSED [ 28%]
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962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 30%]
962s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 30%]
963s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 30%]
964s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 30%]
965s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 30%]
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966s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 30%]
966s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 30%]
966s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 30%]
966s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 30%]
966s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 30%]
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1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 33%]
1015s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 33%]
1016s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 33%]
1020s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 33%]
1020s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 33%]
1022s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count0] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count1] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count2] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count3] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count4] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count5] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count6] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count7] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count8] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count9] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count10] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count11] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count12] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count13] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count14] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count15] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count0] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count1] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count2] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count3] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count4] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count5] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count6] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count7] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count8] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count9] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count10] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count11] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count12] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count13] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count14] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count15] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count0] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count1] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count2] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count3] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count4] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count5] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count6] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count7] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count8] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count9] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count10] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count11] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count12] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count13] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count14] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count15] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count0] PASSED [ 33%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count1] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count2] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count3] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count4] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count5] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count6] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count7] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count8] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count9] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count10] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count11] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count12] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count13] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count14] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count15] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count0] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count1] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count2] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count3] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count4] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count5] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count6] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count7] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count8] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count9] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count10] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count11] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count12] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count13] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count14] PASSED [ 34%]
1023s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count15] PASSED [ 34%]
1024s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count0] PASSED [ 34%]
1024s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count1] PASSED [ 34%]
1024s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count2] PASSED [ 34%]
1025s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count3] PASSED [ 34%]
1025s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count4] PASSED [ 34%]
1026s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count5] PASSED [ 34%]
1026s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count6] PASSED [ 34%]
1027s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count7] PASSED [ 34%]
1027s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count8] PASSED [ 34%]
1028s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count9] PASSED [ 34%]
1028s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count10] PASSED [ 34%]
1028s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count11] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count12] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count13] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count14] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count15] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count0] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count1] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count2] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count3] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count4] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count5] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count6] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count7] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count8] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count9] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count10] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count11] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count12] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count13] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count14] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count15] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count0] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count1] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count2] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count3] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count4] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count5] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count6] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count7] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count8] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count9] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count10] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count11] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count12] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count13] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count14] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count15] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count0] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count1] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count2] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count3] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count4] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count5] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count6] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count7] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count8] PASSED [ 34%]
1029s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count9] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count10] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count11] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count12] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count13] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count14] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count15] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count0] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count1] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count2] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count3] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count4] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count5] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count6] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count7] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count8] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count9] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count10] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count11] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count12] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count13] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count14] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count15] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count0] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count1] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count2] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count3] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count4] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count5] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count6] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count7] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count8] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count9] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count10] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count11] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count12] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count13] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count14] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count15] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count0] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count1] PASSED [ 34%]
1030s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count2] PASSED [ 34%]
1031s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count3] PASSED [ 34%]
1031s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count4] PASSED [ 34%]
1031s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count5] PASSED [ 34%]
1032s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count6] PASSED [ 34%]
1032s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count7] PASSED [ 34%]
1032s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count8] PASSED [ 34%]
1032s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count9] PASSED [ 34%]
1033s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count10] PASSED [ 34%]
1033s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count11] PASSED [ 34%]
1033s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count12] PASSED [ 34%]
1034s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count13] PASSED [ 34%]
1034s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count14] PASSED [ 34%]
1034s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count15] PASSED [ 34%]
1034s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 34%]
1035s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 34%]
1035s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 34%]
1035s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 34%]
1035s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 34%]
1035s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 34%]
1036s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 34%]
1036s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 34%]
1036s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 34%]
1037s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 34%]
1037s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 34%]
1037s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 34%]
1037s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 34%]
1038s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 34%]
1038s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 34%]
1039s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 34%]
1039s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 34%]
1039s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 34%]
1040s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 34%]
1040s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 34%]
1040s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 34%]
1041s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 34%]
1041s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 34%]
1041s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 34%]
1042s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 34%]
1042s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 34%]
1042s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 34%]
1042s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 34%]
1043s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 34%]
1044s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 34%]
1044s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 34%]
1045s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 34%]
1045s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 34%]
1046s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 34%]
1046s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 34%]
1046s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 34%]
1047s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 34%]
1048s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 35%]
1048s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 35%]
1048s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 35%]
1049s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 35%]
1049s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 35%]
1050s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 35%]
1050s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 35%]
1050s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 35%]
1051s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 35%]
1051s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 35%]
1051s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 35%]
1052s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 35%]
1052s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 35%]
1053s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 35%]
1053s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 35%]
1054s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 35%]
1054s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 35%]
1054s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 35%]
1055s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 35%]
1055s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 35%]
1056s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 35%]
1056s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 35%]
1056s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 35%]
1057s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 35%]
1057s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 35%]
1058s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 35%]
1058s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 35%]
1058s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 35%]
1059s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 35%]
1059s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 35%]
1060s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 35%]
1060s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 35%]
1060s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 35%]
1061s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 35%]
1061s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 35%]
1062s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 35%]
1062s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 35%]
1063s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 35%]
1063s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 35%]
1064s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 35%]
1064s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 35%]
1065s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 35%]
1065s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 35%]
1065s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 35%]
1066s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 35%]
1066s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 35%]
1066s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 35%]
1067s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 35%]
1067s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 35%]
1068s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 35%]
1068s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 35%]
1069s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 35%]
1069s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 35%]
1069s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 35%]
1069s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 35%]
1070s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 35%]
1070s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 35%]
1070s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 35%]
1071s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 35%]
1072s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 35%]
1073s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 35%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 35%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 35%]
1075s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 35%]
1076s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 35%]
1076s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 35%]
1077s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 35%]
1078s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 35%]
1079s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 35%]
1080s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 35%]
1081s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 35%]
1082s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 35%]
1082s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 35%]
1083s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 35%]
1084s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 35%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 35%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 35%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 35%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 35%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 35%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 35%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 35%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 35%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 35%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 35%]
1095s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 35%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 35%]
1097s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 35%]
1098s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 35%]
1100s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 35%]
1101s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 35%]
1102s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 35%]
1102s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 35%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 35%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 35%]
1106s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 35%]
1107s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 35%]
1108s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 35%]
1109s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 35%]
1111s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 35%]
1112s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 35%]
1113s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 35%]
1114s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 35%]
1114s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 35%]
1115s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 35%]
1116s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 35%]
1116s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 35%]
1117s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 35%]
1118s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 35%]
1119s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 35%]
1120s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 35%]
1121s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 35%]
1122s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 35%]
1123s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 35%]
1124s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 35%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 35%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 35%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 35%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 35%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 35%]
1130s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 35%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 35%]
1132s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 35%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 35%]
1134s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 35%]
1135s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 35%]
1136s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 35%]
1137s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 35%]
1138s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 35%]
1140s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 35%]
1140s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 35%]
1141s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 35%]
1142s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 35%]
1143s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 35%]
1144s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 35%]
1144s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 35%]
1145s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 35%]
1147s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 35%]
1148s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 35%]
1149s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 35%]
1150s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 35%]
1151s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 35%]
1152s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 35%]
1152s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 35%]
1153s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 35%]
1154s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 35%]
1155s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 35%]
1155s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 35%]
1156s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 35%]
1157s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 35%]
1158s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 35%]
1159s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 35%]
1159s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 35%]
1160s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 35%]
1161s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 35%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 36%]
1162s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 36%]
1163s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 36%]
1163s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 36%]
1164s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 36%]
1164s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 36%]
1165s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 36%]
1166s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 36%]
1166s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 36%]
1166s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 36%]
1167s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 36%]
1168s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 36%]
1168s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 36%]
1169s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 36%]
1169s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 36%]
1170s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 36%]
1170s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count14] PASSED [ 36%]
1171s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count15] PASSED [ 36%]
1171s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.01] PASSED [ 36%]
1171s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.05] PASSED [ 36%]
1171s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.01] PASSED [ 36%]
1172s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.05] PASSED [ 36%]
1172s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.01] PASSED [ 36%]
1172s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.05] PASSED [ 36%]
1172s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.01] PASSED [ 36%]
1172s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.05] PASSED [ 36%]
1173s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.01] PASSED [ 36%]
1173s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.05] PASSED [ 36%]
1173s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.01] PASSED [ 36%]
1173s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.05] PASSED [ 36%]
1173s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.01] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.05] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.01] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.05] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.01] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.05] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[wald] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[score] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[exact-c] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[waldccv] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-a] PASSED [ 36%]
1174s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-v] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[midp-c] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_r PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case0] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case1] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case2] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case3] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case4] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[wald] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[score] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[exact-c] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[midp-c] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[waldccv] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-a] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-v] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[wald] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[score] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[exact-c] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[midp-c] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[jeff] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[waldccv] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-a] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-v] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-cent] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-centcc] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[wald] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[score] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[waldccv] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[wald-log] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[score-log] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[wald] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[score] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest-wald] PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson PASSED [ 36%]
1175s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case0] PASSED [ 36%]
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1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 37%]
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1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest_2sample PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_basic PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_basic PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest_2sample PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_basic PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest_2sample PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_confint_mean PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_weightstats_len_1 PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w1 PASSED [ 37%]
1176s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w2 PASSED [ 37%]
1178s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_x13.py::test_make_var_names PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_patsy_577 PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_cache_readonly PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-FutureWarning] PASSED [ 37%]
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1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-FutureWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-UserWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-FutureWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 37%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 37%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_1d PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_2d PASSED [ 38%]
1185s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_hess PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 38%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 38%]
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1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 38%]
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1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 38%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 38%]
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1302s ../../../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%]
1302s ../../../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%]
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1302s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params0] PASSED [ 47%]
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1322s ../../../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%]
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1322s ../../../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%]
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1322s ../../../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%]
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1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1329s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1330s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1331s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1332s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1333s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1334s ../../../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%]
1335s ../../../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%]
1335s ../../../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%]
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1335s ../../../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%]
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1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 53%]
1359s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 53%]
1360s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[datetime] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[period] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[range] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[nofreq] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_no_freq PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: True] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: False] PASSED [ 53%]
1361s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: True] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: False] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: True] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: False] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_pi_width PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_auto PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 53%]
1362s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 53%]
1364s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 53%]
1364s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 53%]
1364s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 53%]
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1364s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 53%]
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1365s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 53%]
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1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1457s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1458s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 61%]
1459s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_states PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_misc PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_mle_estimates PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_fitted PASSED [ 61%]
1460s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_output PASSED [ 61%]
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1585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-8] PASSED [ 72%]
1585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_resmooth PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_return_pandas_series_when_input_pandas_and_len_periods_one PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_seasonal_is_datafame_when_input_pandas_and_multiple_periods PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-3-None-1] PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods1-None-2] PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[periods0-1] PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[7-windows1] PASSED [ 72%]
1586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-0.1] PASSED [ 72%]
1587s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-1] PASSED [ 72%]
1587s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data--3.0] PASSED [ 72%]
1587s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-auto] PASSED [ 72%]
1587s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_auto_fit_with_box_cox PASSED [ 72%]
1588s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_stl_kwargs_smoke PASSED [ 72%]
1589s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_plot PASSED [ 72%]
1590s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_output_similar_to_R_implementation PASSED [ 72%]
1593s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered0-windows_ordered0-periods_not_ordered0-windows_not_ordered0] PASSED [ 72%]
1594s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered2-None-periods_not_ordered2-None] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_baseline_class PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_short_class PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_class PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_ntjump_1_class PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_ntjump_1_class PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_period PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_seasonal PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_trend PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_low_pass PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_jump_errors PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[True] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[True] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[False] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[False] PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_period_detection PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_no_period PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_plot PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_default_trend PASSED [ 72%]
1598s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pickle PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_squezable_to_1d PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
1599s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
1599s ../../../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: nonrobust-bse] PASSED [ 73%]
1599s ../../../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: nonrobust-cov_params] PASSED [ 73%]
1599s ../../../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: nonrobust-df_model] PASSED [ 73%]
1599s ../../../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: nonrobust-df_resid] PASSED [ 73%]
1599s ../../../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: nonrobust-fittedvalues] PASSED [ 73%]
1599s ../../../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: nonrobust-llf] PASSED [ 73%]
1599s ../../../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: nonrobust-nobs] PASSED [ 73%]
1599s ../../../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: nonrobust-params] PASSED [ 73%]
1599s ../../../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: nonrobust-resid] PASSED [ 73%]
1599s ../../../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: nonrobust-scale] PASSED [ 73%]
1599s ../../../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: nonrobust-tvalues] PASSED [ 73%]
1599s ../../../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: nonrobust-use_t] PASSED [ 73%]
1599s ../../../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: nonrobust] PASSED [ 73%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1599s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1600s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1601s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1602s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1603s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1604s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1605s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1606s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1607s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1608s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1609s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1610s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1611s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1612s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1613s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1614s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1615s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1616s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1617s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1618s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1619s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1620s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1621s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1622s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1623s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1624s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1625s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1626s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1627s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1628s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1629s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1630s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1631s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1632s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1633s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1634s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1635s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1636s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1637s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1638s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1639s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1640s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1641s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1642s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1643s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1644s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1645s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1646s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../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%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 94%]
1647s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 94%]
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1719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%]
1719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%]
1719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%]
1720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%]
1721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%]
1721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%]
1721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%]
1721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%]
1721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%]
1722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%]
1722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%]
1722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%]
1722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%]
1722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%]
1722s
1722s =============================== warnings summary ===============================
1722s base/tests/test_penalized.py: 2 warnings
1722s base/tests/test_shrink_pickle.py: 3 warnings
1722s discrete/tests/test_count_model.py: 1 warning
1722s discrete/tests/test_discrete.py: 8 warnings
1722s genmod/tests/test_glm.py: 1 warning
1722s tsa/statespace/tests/test_sarimax.py: 1 warning
1722s tsa/tests/test_exponential_smoothing.py: 1 warning
1722s tsa/vector_ar/tests/test_svar.py: 101 warnings
1722s /usr/lib/python3/dist-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
1722s warnings.warn("Maximum Likelihood optimization failed to "
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
1722s /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.
1722s warnings.warn(msg, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1722s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 6 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean
1722s /usr/lib/python3/dist-packages/statsmodels/base/model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available
1722s warnings.warn('Inverting hessian failed, no bse or cov_params '
1722s
1722s discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params
1722s discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce
1722s return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
1722s
1722s discrete/tests/test_discrete.py::test_perfect_prediction
1722s discrete/tests/test_discrete.py::test_perfect_prediction
1722s discrete/tests/test_discrete.py::test_perfect_prediction
1722s /usr/lib/python3/dist-packages/statsmodels/discrete/discrete_model.py:227: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified
1722s warnings.warn(msg, category=PerfectSeparationWarning)
1722s
1722s discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param
1722s /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.
1722s warnings.warn(
1722s
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 8 out of 10 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence
1722s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict
1722s discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence
1722s discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict
1722s /usr/lib/python3/dist-packages/statsmodels/base/_prediction_inference.py:782: UserWarning: using default log-link in get_prediction
1722s warnings.warn("using default log-link in get_prediction")
1722s
1722s discrete/tests/test_predict.py::test_distr[case9]
1722s discrete/tests/test_predict.py::test_distr[case10]
1722s discrete/tests/test_predict.py::test_distr[case11]
1722s /usr/lib/python3/dist-packages/statsmodels/stats/outliers_influence.py:545: RuntimeWarning: invalid value encountered in sqrt
1722s return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag)
1722s
1722s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
1722s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 4 parameters
1722s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1722s warnings.warn(message, ConvergenceWarning)
1722s
1722s formula/tests/test_formula.py::TestFormulaPandas::test_summary
1722s formula/tests/test_formula.py::TestFormulaDict::test_summary
1722s regression/tests/test_regression.py::TestOLS::test_summary_slim
1722s /usr/lib/python3/dist-packages/scipy/stats/_axis_nan_policy.py:418: UserWarning: `kurtosistest` p-value may be inaccurate with fewer than 20 observations; only n=16 observations were given.
1722s return hypotest_fun_in(*args, **kwds)
1722s
1722s genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True]
1722s genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True]
1722s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:314: RuntimeWarning: divide by zero encountered in log
1722s exposure = np.log(exposure)
1722s
1722s graphics/tests/test_functional.py: 16 warnings
1722s /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=3103) is multi-threaded, use of fork() may lead to deadlocks in the child.
1722s self.pid = os.fork()
1722s
1722s nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls
1722s /usr/lib/python3/dist-packages/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in divide
1722s B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2)
1722s
1722s nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs
1722s /usr/lib/python3/dist-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide
1722s res, _ = _lowess(y, x, x, np.ones_like(x),
1722s
1722s regression/tests/test_dimred.py::test_covreduce
1722s /usr/lib/python3/dist-packages/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955
1722s warnings.warn(msg, ConvergenceWarning)
1722s
1722s robust/tests/test_scale.py::TestHuberAxes::test_axis1
1722s /usr/lib/python3/dist-packages/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in divide
1722s subset = np.less_equal(np.abs((a - mu) / scale), self.c)
1722s
1722s sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict
1722s /usr/lib/python3/dist-packages/statsmodels/sandbox/gam.py:327: IterationLimitWarning:
1722s Maximum iteration reached.
1722s
1722s warnings.warn(iteration_limit_doc, IterationLimitWarning)
1722s
1722s sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict
1722s /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.
1722s warnings.warn("Negative binomial dispersion parameter alpha not "
1722s
1722s stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest
1722s stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest
1722s stats/tests/test_corrpsd.py::test_corrpsd_threshold[0]
1722s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15]
1722s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10]
1722s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06]
1722s /usr/lib/python3/dist-packages/statsmodels/stats/correlation_tools.py:89: IterationLimitWarning:
1722s Maximum iteration reached.
1722s
1722s warnings.warn(iteration_limit_doc, IterationLimitWarning)
1722s
1722s stats/tests/test_descriptivestats.py::test_description_basic
1722s stats/tests/test_descriptivestats.py::test_empty_columns
1722s stats/tests/test_descriptivestats.py::test_empty_columns
1722s /usr/lib/python3/dist-packages/statsmodels/stats/descriptivestats.py:406: SmallSampleWarning: One or more sample arguments is too small; all returned values will be NaN. See documentation for sample size requirements.
1722s mode_res = stats.mode(ser_no_missing, **kwargs)
1722s
1722s stats/tests/test_power.py::test_power_solver_warn
1722s /usr/lib/python3/dist-packages/statsmodels/stats/power.py:132: RuntimeWarning: invalid value encountered in sqrt
1722s pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma)
1722s
1722s stats/tests/test_tost.py::test_tost_asym
1722s /usr/lib/python3/dist-packages/statsmodels/stats/weightstats.py:1479: RuntimeWarning: invalid value encountered in log
1722s low = transform(low)
1722s
1722s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1722s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1722s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1722s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1722s /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.
1722s _index = to_datetime(index)
1722s
1722s tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r
1722s tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize
1722s /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
1722s return func(*args, **kwargs)
1722s
1722s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul]
1722s /usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/model.py:84: RuntimeWarning: overflow encountered in matmul
1722s return err.T @ err
1722s
1722s tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr]
1722s /usr/lib/python3/dist-packages/scipy/optimize/_differentiable_functions.py:316: 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.
1722s self.H.update(self.x - self.x_prev, self.g - self.g_prev)
1722s
1722s tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular]
1722s tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index
1722s /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.
1722s return get_prediction_index(
1722s
1722s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1722s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1722s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:898: RuntimeWarning: divide by zero encountered in scalar divide
1722s return np.sum(resid / self.family.variance(mu)) / self.df_resid
1722s
1722s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1722s /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)
1722s warn(f'EM reached maximum number of iterations ({maxiter}),'
1722s
1722s tsa/statespace/tests/test_mlemodel.py::test_integer_params
1722s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/kalman_filter.py:1762: RuntimeWarning: invalid value encountered in scalar divide
1722s self.scale = np.sum(scale_obs[d:]) / nobs_k_endog
1722s
1722s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1722s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/mlemodel.py:1235: RuntimeWarning: invalid value encountered in divide
1722s np.inner(score_obs, score_obs) /
1722s
1722s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1722s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3787: RuntimeWarning: Degrees of freedom <= 0 for slice
1722s return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
1722s
1722s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1722s /usr/lib/python3/dist-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
1722s arrmean = um.true_divide(arrmean, div, out=arrmean,
1722s
1722s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1722s /usr/lib/python3/dist-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
1722s ret = ret.dtype.type(ret / rcount)
1722s
1722s tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma
1722s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
1722s warn('Non-invertible starting MA parameters found.'
1722s
1722s tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2]
1722s tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1]
1722s /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).
1722s warnings.warn(
1722s
1722s tsa/tests/test_exponential_smoothing.py::test_hessian
1722s /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.
1722s austourists_model_fit.model.hessian(
1722s
1722s tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic]
1722s /usr/lib/python3/dist-packages/statsmodels/tsa/exponential_smoothing/ets.py:1448: RuntimeWarning: invalid value encountered in divide
1722s self.standardized_forecasts_error = (
1722s
1722s tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values
1722s /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.
1722s actual_statistic, actual_pvalue = breakvar_heteroskedasticity_test(
1722s
1722s tsa/tests/test_stattools.py::TestKPSS::test_none
1722s /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
1722s look-up table. The actual p-value is smaller than the p-value returned.
1722s
1722s kpss(self.x, nlags=None)
1722s
1722s tsa/tests/test_stattools.py::test_pacf_1_obs
1722s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1483: RuntimeWarning: invalid value encountered in scalar divide
1722s r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed)
1722s
1722s tsa/tests/test_stattools.py::test_pacf_1_obs
1722s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1490: ValueWarning: Matrix is singular. Using pinv.
1722s warnings.warn("Matrix is singular. Using pinv.", ValueWarning)
1722s
1722s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:475
1722s /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-qmpbamg5'
1722s config.cache.set("cache/nodeids", sorted(self.cached_nodeids))
1722s
1722s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:51
1722s /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-e223apcj'
1722s session.config.cache.set(STEPWISE_CACHE_DIR, [])
1722s
1722s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
1722s == 17463 passed, 395 skipped, 138 xfailed, 233 warnings in 1425.99s (0:23:45) ==
1725s ============================= test session starts ==============================
1725s platform linux -- Python 3.13.2, pytest-8.3.4, pluggy-1.5.0 -- /usr/bin/python3.13
1725s cachedir: .pytest_cache
1725s rootdir: /usr/lib/python3/dist-packages/statsmodels
1725s configfile: setup.cfg
1725s plugins: typeguard-4.4.1
1735s collecting ... collected 17996 items
1735s
1735s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays::test_orig PASSED [ 0%]
1735s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays::test_endogexog PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrames::test_names PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrames::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrames::test_endogexog PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestLists::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestLists::test_endogexog PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestLists::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestLists::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestListDataFrame::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestListDataFrame::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestListDataFrame::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestListDataFrame::test_endogexog PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameList::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameList::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameList::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::test_alignment PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_orig PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_names PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_names PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_endogexog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_attach PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise_no_missing PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_drop PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_none PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_raise PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_drop PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_mv_endog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_2d PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_1d PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise_no_missing PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_drop PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_none PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_drop PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_mv_endog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestMissingPandas::test_labels PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestConstant::test_array_constant PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestConstant::test_pandas_noconstant PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestConstant::test_array_noconstant PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestHasConstantOLS::test_hasconst PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestHasConstantGLM::test_hasconst PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::TestHasConstantLogit::test_hasconst PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::test_dtype_object PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::test_formula_missing_extra_arrays PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_data.py::test_raise_nonfinite_exog PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_calc_grad PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_calc_wdesign_mat PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_debiased PASSED [ 0%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_est_unregularized_naive PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_join_debiased PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_join_naive PASSED [ 0%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_fit_sequential PASSED [ 0%]
1740s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_fit_joblib PASSED [ 0%]
1741s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_single_partition PASSED [ 0%]
1745s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_larger_p PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_non_zero_params PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_repeat_partition PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_distributed_estimation.py::test_debiased_v_average PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ttest_tvalues PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ftest_pvalues PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_fitted PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_predict_types PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_constrained PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ttest_tvalues PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ftest_pvalues PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_fitted PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_predict_types PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear PASSED [ 0%]
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1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ttest_tvalues PASSED [ 0%]
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1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_fitted PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_predict_types PASSED [ 0%]
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1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ttest_tvalues PASSED [ 0%]
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1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear PASSED [ 0%]
1746s ../../../usr/lib/python3/dist-packages/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ttest_tvalues PASSED [ 0%]
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1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 3%]
1819s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 3%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 4%]
1820s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 4%]
1821s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 4%]
1822s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 4%]
1830s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [ 4%]
1830s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 4%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 5%]
1831s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 5%]
1832s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 5%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 6%]
1833s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 6%]
1834s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 6%]
1835s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 6%]
1836s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 6%]
1837s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 6%]
1838s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 6%]
1839s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 6%]
1840s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 6%]
1841s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 6%]
1842s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 6%]
1842s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [ 6%]
1843s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [ 6%]
1843s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 6%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 7%]
1844s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 7%]
1846s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 7%]
1846s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 7%]
1846s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 7%]
1846s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 7%]
1846s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [ 7%]
1847s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 7%]
1848s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 7%]
1849s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 7%]
1849s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 7%]
1849s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 7%]
1849s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 7%]
1850s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 7%]
1851s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 7%]
1852s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 7%]
1853s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 7%]
1854s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 7%]
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1958s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_vb PASSED [ 11%]
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1960s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_map PASSED [ 11%]
1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_doc_examples PASSED [ 11%]
1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_params PASSED [ 11%]
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1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_resid PASSED [ 11%]
1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_params PASSED [ 11%]
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1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 11%]
1961s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 11%]
1962s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 11%]
1962s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 11%]
1962s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 11%]
1962s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 11%]
1962s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 11%]
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1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure_lists PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 11%]
1980s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 11%]
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1988s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 11%]
1992s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 11%]
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1998s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 11%]
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2002s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 11%]
2002s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Poisson] PASSED [ 11%]
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2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 11%]
2003s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 11%]
2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 11%]
2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 11%]
2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 11%]
2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 11%]
2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 11%]
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2006s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_R PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_fittedvalues PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_scale PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_bic PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_degrees PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_fittedvalues PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_tpvalues PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_pearson_chi2 PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_prsquared PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_summary2 PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_params PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_aic_Stata PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_deviance PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_scale PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_loglike PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_bic PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_degrees PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_fittedvalues PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_tpvalues PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_pearson_chi2 PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_prsquared PASSED [ 12%]
2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_summary PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_params PASSED [ 12%]
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2007s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_aic_Stata PASSED [ 12%]
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2008s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_predict PASSED [ 13%]
2008s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_perfect_pred PASSED [ 13%]
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2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_scale PASSED [ 13%]
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2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_null_deviance PASSED [ 13%]
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2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_degrees PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_fittedvalues PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_tpvalues PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_pearson_chi2 PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_prsquared PASSED [ 13%]
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2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_get_distribution PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_start_params PASSED [ 13%]
2009s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_loglike_no_opt PASSED [ 13%]
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2010s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 13%]
2010s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_gradient_irls PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_standard_errors PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_aic PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_scale PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_null_deviance PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_bic PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_fittedvalues PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_tpvalues PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_params PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_standard_errors PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_scale PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_fittedvalues PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_standard_errors PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_aic PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_deviance PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_scale PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_null_deviance PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_bic PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_fittedvalues PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_tpvalues PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_standard_errors PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_aic PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_deviance PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_scale PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_null_deviance PASSED [ 13%]
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2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_fittedvalues PASSED [ 13%]
2011s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_tpvalues PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_params PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_standard_errors PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_scale PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_null_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_standard_errors PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_aic PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_scale PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_loglike PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_null_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_bic PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_fittedvalues PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_tpvalues PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_standard_errors PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_aic PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_null_deviance PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_params PASSED [ 13%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_standard_errors PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_deviance PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_bic PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_tpvalues PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 13%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_null_deviance PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_scale PASSED [ 14%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_loglike PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_fittedvalues PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_standard_errors PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_scale PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_tpvalues PASSED [ 14%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_params PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_deviance PASSED [ 14%]
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2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_bic PASSED [ 14%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_fittedvalues PASSED [ 14%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_tpvalues PASSED [ 14%]
2012s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 14%]
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2013s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_wtd_patsy_missing PASSED [ 14%]
2013s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 14%]
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2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 14%]
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2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_scale PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int8] PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int16] PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int32] PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int64] PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_bic PASSED [ 14%]
2014s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_bic_warning PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_score PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 14%]
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2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_getprediction PASSED [ 14%]
2015s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_getprediction PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 14%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
2016s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_getprediction PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 15%]
2018s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 15%]
2019s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 15%]
2020s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 15%]
2020s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 15%]
2022s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 15%]
2023s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 15%]
2024s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 15%]
2026s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 15%]
2028s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 15%]
2028s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 15%]
2028s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 15%]
2028s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 15%]
2029s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 15%]
2030s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 15%]
2030s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 15%]
2030s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 15%]
2032s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 15%]
2033s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%]
2033s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%]
2033s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%]
2034s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%]
2035s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%]
2036s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%]
2039s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute SKIPPED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_plot SKIPPED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha SKIPPED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha SKIPPED [ 15%]
2040s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold SKIPPED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp SKIPPED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%]
2042s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%]
2043s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%]
2044s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%]
2044s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%]
2044s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%]
2044s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%]
2044s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%]
2045s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%]
2045s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%]
2045s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%]
2046s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%]
2046s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%]
2046s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%]
2046s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%]
2047s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%]
2048s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%]
2049s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%]
2049s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%]
2049s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%]
2050s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 15%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 16%]
2051s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%]
2052s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 16%]
2053s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 16%]
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2095s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_gls_and_weights PASSED [ 18%]
2095s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide SKIPPED [ 18%]
2096s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_projection PASSED [ 18%]
2097s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_replace_missing PASSED [ 18%]
2097s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 18%]
2097s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe SKIPPED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence_full_matrices PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_missing PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_too_many_missing PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_gls_warning PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case0] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case1] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case2] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case3] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case4] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case5] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case6] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case7] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case0] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case1] PASSED [ 18%]
2098s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case2] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case3] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case4] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case5] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case6] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case7] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case0] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case1] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case2] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case3] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 18%]
2099s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 18%]
2100s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%]
2101s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%]
2102s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS SKIPPED [ 18%]
2103s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML SKIPPED [ 18%]
2104s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%]
2104s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous SKIPPED [ 18%]
2104s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%]
2104s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS SKIPPED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient SKIPPED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient SKIPPED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom SKIPPED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%]
2105s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS SKIPPED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS SKIPPED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata SKIPPED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf SKIPPED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient SKIPPED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 18%]
2106s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 18%]
2108s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 18%]
2110s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 18%]
2110s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls SKIPPED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient SKIPPED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls SKIPPED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic SKIPPED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous SKIPPED [ 18%]
2111s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete SKIPPED [ 18%]
2113s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data SKIPPED [ 18%]
2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 18%]
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2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 18%]
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2114s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 18%]
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2115s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 18%]
2115s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 18%]
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2115s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 18%]
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2124s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all PASSED [ 19%]
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2124s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_params_table PASSED [ 19%]
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2124s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_rho PASSED [ 19%]
2124s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_arima PASSED [ 19%]
2124s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_iter0 PASSED [ 19%]
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2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_residuals PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_degrees PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_unscaled SKIPPED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_scaled PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tvalues SKIPPED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tpvalues PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary2 PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_chisq PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_standarderrors PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_confidenceintervals SKIPPED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_scale PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_weights PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_residuals PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_degrees PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_unscaled PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_scaled PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tvalues PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tpvalues PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values_errors PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[AndrewWave] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[AndrewWave] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[LeastSquares] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[LeastSquares] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[HuberT] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[HuberT] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TrimmedMean] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TrimmedMean] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TukeyBiweight] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TukeyBiweight] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[Hampel] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[Hampel] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[RamsayE] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_perfect_const[RamsayE] PASSED [ 26%]
2265s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[weights] PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[coefs] PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[sresid] PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_rlm.py::test_bad_criterion PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_mean PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_median PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_mad PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_iqr PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_qn PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_scale PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_location PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_huberT PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_Hampel PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMad::test_mad PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_empty PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_center PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis0 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis1 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis2 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr_empty PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis0 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis1 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis2 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%]
2266s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 26%]
2267s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 26%]
2268s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 26%]
2269s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 26%]
2269s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 26%]
2271s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 26%]
2271s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 26%]
2281s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 26%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 26%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 26%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 26%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%]
2282s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%]
2283s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%]
2284s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%]
2285s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%]
2286s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%]
2287s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%]
2288s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch SKIPPED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values SKIPPED [ 27%]
2289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 27%]
2290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 27%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%]
2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%]
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2291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%]
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2303s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[mode] PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_extension_types PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_hac PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_multidim PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_exogs PASSED [ 28%]
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2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_against_r PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_harvey_collier PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_rainbow PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_lr PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_cox] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_j] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_cox] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_j] PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_cusum_ols PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_breaks_hansen PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_recursive_residuals PASSED [ 28%]
2305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_influence PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_basic PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_hac PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_goldfeldquandt PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan PASSED [ 28%]
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2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_nonrobust PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white PASSED [ 28%]
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2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch2 PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_multidim PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_exogs PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box PASSED [ 28%]
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2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_against_r PASSED [ 28%]
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2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_rainbow PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_lr PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_cox] PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_j] PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_cox] PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_j] PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_cox PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_cusum_ols PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_breaks_hansen PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_recursive_residuals PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_normality PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_influence PASSED [ 28%]
2306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_diagnostic.py::test_spec_white PASSED [ 28%]
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2323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 29%]
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2323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
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2375s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_positional PASSED [ 33%]
2375s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_normal_power_explicit PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_ftest_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power_plot PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power_plot SKIPPED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_kwargs PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_positional PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_roots PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power_plot SKIPPED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_power_solver PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_power_solver_warn XFAIL [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_normal_sample_size_one_tail PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case0] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case1] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case2] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case3] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case4] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case5] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case6] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case7] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case0] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case1] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case2] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case3] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case4] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case5] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case6] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case7] PASSED [ 33%]
2376s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 33%]
2377s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 33%]
2381s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 33%]
2381s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 33%]
2382s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 33%]
2382s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count0] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count1] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count2] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count3] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count4] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count5] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count6] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count7] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count8] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count9] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count10] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count11] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count12] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count13] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count14] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count15] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count0] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count1] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count2] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count3] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count4] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count5] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count6] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count7] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count8] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count9] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count10] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count11] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count12] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count13] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count14] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count15] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count0] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count1] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count2] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count3] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count4] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count5] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count6] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count7] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count8] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count9] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count10] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count11] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count12] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count13] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count14] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count15] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count0] PASSED [ 33%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count1] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count2] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count3] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count4] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count5] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count6] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count7] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count8] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count9] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count10] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count11] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count12] PASSED [ 34%]
2383s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count13] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count14] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count15] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count0] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count1] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count2] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count3] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count4] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count5] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count6] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count7] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count8] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count9] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count10] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count11] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count12] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count13] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count14] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count15] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count0] PASSED [ 34%]
2384s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count1] PASSED [ 34%]
2385s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count2] PASSED [ 34%]
2385s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count3] PASSED [ 34%]
2386s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count4] PASSED [ 34%]
2386s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count5] PASSED [ 34%]
2387s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count6] PASSED [ 34%]
2387s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count7] PASSED [ 34%]
2387s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count8] PASSED [ 34%]
2388s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count9] PASSED [ 34%]
2388s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count10] PASSED [ 34%]
2388s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count11] PASSED [ 34%]
2389s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count12] PASSED [ 34%]
2389s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count13] PASSED [ 34%]
2389s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count15] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count0] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count1] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count2] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count3] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count4] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count5] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count6] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count7] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count8] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count9] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count10] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count11] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count12] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count13] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count15] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count0] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count1] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count2] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count3] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count4] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count5] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count6] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count7] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count8] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count9] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count10] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count11] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count12] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count13] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count15] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count0] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count1] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count2] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count3] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count4] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count5] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count6] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count7] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count8] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count9] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count10] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count11] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count12] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count13] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count15] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count0] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count1] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count2] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count3] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count4] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count5] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count6] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count7] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count8] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count9] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count10] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count11] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count12] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count13] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count15] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count0] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count1] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count2] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count3] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count4] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count5] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count6] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count7] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count8] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count9] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count10] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count11] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count12] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count13] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count14] PASSED [ 34%]
2390s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count15] PASSED [ 34%]
2391s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count0] PASSED [ 34%]
2391s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count1] PASSED [ 34%]
2391s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count2] PASSED [ 34%]
2392s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count3] PASSED [ 34%]
2392s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count4] PASSED [ 34%]
2392s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count5] PASSED [ 34%]
2393s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count6] PASSED [ 34%]
2393s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count7] PASSED [ 34%]
2393s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count8] PASSED [ 34%]
2394s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count9] PASSED [ 34%]
2394s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count10] PASSED [ 34%]
2394s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count11] PASSED [ 34%]
2395s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count12] PASSED [ 34%]
2395s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count13] PASSED [ 34%]
2395s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count14] PASSED [ 34%]
2396s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count15] PASSED [ 34%]
2396s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 34%]
2396s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 34%]
2397s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 34%]
2397s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 34%]
2397s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 34%]
2397s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 34%]
2397s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 34%]
2398s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 34%]
2398s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 34%]
2398s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 34%]
2398s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 34%]
2399s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 34%]
2399s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 34%]
2399s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 34%]
2399s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 34%]
2400s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 34%]
2400s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 34%]
2400s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 34%]
2401s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 34%]
2401s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 34%]
2401s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 34%]
2402s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 34%]
2402s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 34%]
2402s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 34%]
2403s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 34%]
2403s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 34%]
2404s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 34%]
2404s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 34%]
2405s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 34%]
2406s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 34%]
2406s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 34%]
2406s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 34%]
2407s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 34%]
2407s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 34%]
2407s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 34%]
2408s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 34%]
2408s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 34%]
2408s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 35%]
2409s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 35%]
2409s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 35%]
2409s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 35%]
2410s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 35%]
2410s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 35%]
2410s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 35%]
2411s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 35%]
2411s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 35%]
2411s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 35%]
2411s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 35%]
2412s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 35%]
2412s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 35%]
2413s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 35%]
2413s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 35%]
2414s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 35%]
2414s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 35%]
2415s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 35%]
2415s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 35%]
2415s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 35%]
2415s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 35%]
2416s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 35%]
2416s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 35%]
2417s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 35%]
2417s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 35%]
2417s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 35%]
2418s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 35%]
2418s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 35%]
2418s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 35%]
2418s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 35%]
2419s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 35%]
2419s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 35%]
2420s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 35%]
2420s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 35%]
2420s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 35%]
2420s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 35%]
2421s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 35%]
2421s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 35%]
2421s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 35%]
2421s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 35%]
2422s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 35%]
2422s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 35%]
2423s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 35%]
2423s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 35%]
2424s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 35%]
2424s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 35%]
2424s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 35%]
2425s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 35%]
2425s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 35%]
2425s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 35%]
2426s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 35%]
2426s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 35%]
2426s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 35%]
2427s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 35%]
2427s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 35%]
2427s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 35%]
2427s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 35%]
2427s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 35%]
2428s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 35%]
2428s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 35%]
2429s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 35%]
2430s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 35%]
2430s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 35%]
2431s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 35%]
2432s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 35%]
2433s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 35%]
2433s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 35%]
2434s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 35%]
2435s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 35%]
2436s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 35%]
2437s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 35%]
2437s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 35%]
2438s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 35%]
2440s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 35%]
2441s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 35%]
2442s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 35%]
2443s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 35%]
2444s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 35%]
2445s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 35%]
2446s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 35%]
2448s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 35%]
2449s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 35%]
2450s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 35%]
2452s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 35%]
2453s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 35%]
2454s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 35%]
2454s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 35%]
2455s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 35%]
2456s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 35%]
2458s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 35%]
2459s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 35%]
2460s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 35%]
2461s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 35%]
2462s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 35%]
2463s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 35%]
2465s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 35%]
2466s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 35%]
2467s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 35%]
2468s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 35%]
2470s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 35%]
2471s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 35%]
2473s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 35%]
2474s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 35%]
2474s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 35%]
2475s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 35%]
2476s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 35%]
2477s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 35%]
2478s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 35%]
2480s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 35%]
2481s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 35%]
2483s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 35%]
2485s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 35%]
2487s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 35%]
2488s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 35%]
2489s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 35%]
2490s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 35%]
2491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 35%]
2493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 35%]
2493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 35%]
2495s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 35%]
2496s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 35%]
2496s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 35%]
2497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 35%]
2498s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 35%]
2499s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 35%]
2500s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 35%]
2501s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 35%]
2503s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 35%]
2503s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 35%]
2505s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 35%]
2506s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 35%]
2507s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 35%]
2508s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 35%]
2509s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 35%]
2510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 35%]
2511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 35%]
2512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 35%]
2514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 35%]
2515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 35%]
2516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 35%]
2517s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 35%]
2518s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 35%]
2519s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 35%]
2520s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 35%]
2521s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 35%]
2521s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 35%]
2522s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 35%]
2524s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 35%]
2525s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 35%]
2526s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 35%]
2527s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 35%]
2528s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 35%]
2529s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 35%]
2530s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 35%]
2531s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 35%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 36%]
2532s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 36%]
2533s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 36%]
2534s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 36%]
2534s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 36%]
2535s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 36%]
2536s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 36%]
2537s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 36%]
2538s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 36%]
2538s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 36%]
2539s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 36%]
2540s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 36%]
2540s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 36%]
2541s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 36%]
2542s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 36%]
2543s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 36%]
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2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 38%]
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2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_df_prepend PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_13 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_14 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_41 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_23 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_32 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 38%]
2565s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like_error PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_string PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_string PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.0] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.1] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating3] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_float_like[(1.2+0j)] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[not_floating0] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[(1.2+1j)] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[3.2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[None] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_int_like[1.0] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_int_like[2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer3] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[3.2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer1] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(3+2j)] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(2.3+0j)] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[apple] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(1+0j)] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer6] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[True] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[False] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1.2] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[a] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[] PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_not_bool_like PASSED [ 38%]
2566s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_aux PASSED [ 38%]
2568s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case0] PASSED [ 38%]
2569s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case1] PASSED [ 38%]
2572s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case2] PASSED [ 38%]
2575s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case3] PASSED [ 38%]
2583s ../../../usr/lib/python3/dist-packages/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case4] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-True] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-True] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-True] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-False] PASSED [ 38%]
2584s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-True] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-False] PASSED [ 38%]
2585s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-True] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-False] PASSED [ 38%]
2586s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-True] PASSED [ 38%]
2587s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-False] PASSED [ 38%]
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2727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-4] PASSED [ 49%]
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2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-None] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-4] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-12] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-None] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-4] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-12] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-None] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-4] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-12] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-None] PASSED [ 49%]
2728s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-4] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-12] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-None] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-4] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-12] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-None] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-4] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-12] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-None] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-4] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-12] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-None] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-4] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-12] PASSED [ 49%]
2729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-None] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-4] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-12] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-None] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-4] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-12] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-None] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-4] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-12] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-None] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-4] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-12] PASSED [ 49%]
2730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-None] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-4] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-12] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-None] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-4] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-12] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-None] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-4] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-12] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-None] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-4] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-12] PASSED [ 49%]
2731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 49%]
2732s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 49%]
2732s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 49%]
2732s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 49%]
2732s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 49%]
2732s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 49%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2732s ../../../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%]
2733s ../../../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%]
2733s ../../../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%]
2733s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 49%]
2733s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 49%]
2733s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 49%]
2733s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 49%]
2733s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 49%]
2733s ../../../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%]
2733s ../../../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%]
2733s ../../../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%]
2733s ../../../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%]
2733s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2734s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2735s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2736s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
2737s ../../../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%]
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2744s ../../../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%]
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2745s ../../../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%]
2745s ../../../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%]
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2745s ../../../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%]
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2751s ../../../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%]
2751s ../../../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%]
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2752s ../../../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%]
2752s ../../../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%]
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2753s ../../../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%]
2753s ../../../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%]
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2754s ../../../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%]
2754s ../../../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%]
2754s ../../../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%]
2754s ../../../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%]
2754s ../../../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%]
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2754s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
2755s ../../../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%]
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2756s ../../../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%]
2756s ../../../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%]
2756s ../../../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%]
2756s ../../../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%]
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2756s ../../../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%]
2756s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
2757s ../../../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%]
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2758s ../../../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%]
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2758s ../../../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%]
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2759s ../../../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%]
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2759s ../../../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%]
2759s ../../../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%]
2759s ../../../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%]
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2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2768s ../../../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%]
2769s ../../../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%]
2769s ../../../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%]
2769s ../../../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%]
2769s ../../../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%]
2769s ../../../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%]
2769s ../../../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%]
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2769s ../../../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%]
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2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 53%]
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2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_auto PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 53%]
2800s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 53%]
2802s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 53%]
2802s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 53%]
2802s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 53%]
2802s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_fit PASSED [ 53%]
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2802s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 53%]
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2803s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy PASSED [ 53%]
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2838s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-None] PASSED [ 54%]
2839s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-add] PASSED [ 54%]
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2842s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-add] PASSED [ 54%]
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2843s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-None] PASSED [ 54%]
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2851s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[least_squares] PASSED [ 54%]
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2930s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_221] PASSED [ 58%]
2930s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_222] PASSED [ 59%]
2930s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[11] PASSED [ 59%]
2930s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[22] PASSED [ 59%]
2930s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_11] PASSED [ 59%]
2931s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_22] PASSED [ 59%]
2931s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-True] PASSED [ 59%]
2931s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-True] PASSED [ 59%]
2932s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-True] PASSED [ 59%]
2932s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-True] PASSED [ 59%]
2933s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] PASSED [ 59%]
2933s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-False] PASSED [ 59%]
2933s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-False] PASSED [ 59%]
2934s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-False] PASSED [ 59%]
2934s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors8-factor_orders8-1-True] PASSED [ 59%]
2934s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors9-factor_orders9-1-False] PASSED [ 59%]
2935s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 59%]
2935s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 59%]
2935s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders3-1-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-False] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-False] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-False] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders7-1-False] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors8-factor_orders8-1-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors9-factor_orders9-1-False] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 59%]
2936s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 59%]
2937s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_112] PASSED [ 59%]
2937s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_222] PASSED [ 59%]
2937s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_112] PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_222] PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1 SKIPPED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1_factor_order_6 PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor2_factor_order_6 SKIPPED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_two_blocks_factor_orders_6 SKIPPED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalytic::test_results PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalyticDirect::test_results PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalytic::test_results PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticDirect::test_results PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticMissing::test_results PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_analytic PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_restricted_analytic PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_kalman_gain PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_loglike PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
2938s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 59%]
2939s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
2940s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 61%]
2941s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_mle_estimates PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_misc PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_fitted PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_output PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_forecasts PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_conf_int PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_initial_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_states PASSED [ 61%]
2942s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_misc PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_fitted PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_output PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_forecasts PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_initial_states PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_states PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_misc PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_conf_int PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_mle_estimates PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_given_params PASSED [ 61%]
2943s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_estimated_params PASSED [ 61%]
2944s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_given_params PASSED [ 61%]
2944s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_estimated_params PASSED [ 61%]
2944s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_given_params PASSED [ 61%]
2944s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_estimated_params PASSED [ 61%]
2944s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_given_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_estimated_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_given_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_estimated_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_given_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_estimated_params PASSED [ 61%]
2945s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendHeuristicInitialization::test_heuristic PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_concentrated_initialization PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_given_params PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_estimated_params PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_given_params PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_estimated_params PASSED [ 61%]
2946s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_given_params PASSED [ 61%]
2947s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_estimated_params PASSED [ 61%]
2947s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_given_params PASSED [ 61%]
2947s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_estimated_params PASSED [ 61%]
2948s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_given_params PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_estimated_params PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_given_params PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_estimated_params PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_fitted PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_output PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_forecasts PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_initial_states PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_states PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_misc PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_conf_int PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_invalid PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_parameterless_model PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_fix_params PASSED [ 61%]
2949s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_nested_fix_params PASSED [ 61%]
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3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
3146s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%]
3146s ../../../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: nonrobust-bse] PASSED [ 73%]
3146s ../../../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: nonrobust-cov_params] PASSED [ 73%]
3146s ../../../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: nonrobust-df_model] PASSED [ 73%]
3146s ../../../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: nonrobust-df_resid] PASSED [ 73%]
3146s ../../../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: nonrobust-fittedvalues] PASSED [ 73%]
3146s ../../../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: nonrobust-llf] PASSED [ 73%]
3146s ../../../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: nonrobust-nobs] PASSED [ 73%]
3146s ../../../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: nonrobust-params] PASSED [ 73%]
3146s ../../../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: nonrobust-resid] PASSED [ 73%]
3146s ../../../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: nonrobust-scale] PASSED [ 73%]
3146s ../../../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: nonrobust-tvalues] PASSED [ 73%]
3146s ../../../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: nonrobust-use_t] PASSED [ 73%]
3146s ../../../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: nonrobust] PASSED [ 73%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3146s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3147s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3148s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3149s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3150s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3151s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3152s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3153s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3154s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3155s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3156s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3157s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3158s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3159s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3160s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3161s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3162s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3163s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3164s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3165s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3166s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3167s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3168s ../../../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%]
3169s ../../../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%]
3169s ../../../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%]
3169s ../../../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%]
3169s ../../../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%]
3170s ../../../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%]
3170s ../../../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%]
3170s ../../../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%]
3170s ../../../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%]
3170s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3171s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3172s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3173s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3174s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3175s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3176s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3177s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3178s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3179s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3180s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3181s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3182s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3183s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3184s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3185s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3186s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3187s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3188s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3189s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3190s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3191s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3192s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3193s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3194s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3195s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3196s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3197s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3198s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3199s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3200s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3201s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3202s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3203s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3204s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3205s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3206s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3207s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3208s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3209s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3210s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3211s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3212s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3213s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3214s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3215s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3216s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../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%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 94%]
3217s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_bse PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_predict PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_params PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_llf PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_fpe PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pickle PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_summary PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pvalues PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_bse PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_predict PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[True] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[False] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[True] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[False] PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 94%]
3218s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[21] PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[25] PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_deterministic PASSED [ 94%]
3219s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_forecast_equiv PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_forecast_period_index PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_plot_err PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_resids PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions_oos PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_invalid_dynamic PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_exog_prediction PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_old_names PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_diagnostic_summary_short PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_model_predict PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_no_variables PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_removal PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply_exception PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-n] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-ct] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-n] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-ct] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-n] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-ct] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-n] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-ct] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-n] PASSED [ 94%]
3220s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-ct] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-n] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-ct] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-n] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-ct] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-n] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-ct] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-n] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-ct] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-n] PASSED [ 94%]
3221s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-ct] PASSED [ 94%]
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3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_maxeval PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_normalization PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_basic PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_trace PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_normalization PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_A PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_B PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_basic PASSED [ 99%]
3291s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_llf_ic PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_irf PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_plot PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_repr PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_summary PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_cov XFAIL [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_irf_coefs PASSED [ 99%]
3297s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_irf PASSED [ 99%]
3298s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_cum_effects PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_figsizes PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_constructor PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_names PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_get_eq_index PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_repr PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_params PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_params PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_ybar PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_tstat PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pvalues PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_summary PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_detsig PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_aic PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_bic PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_hqic PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fpe PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_lagorder_select PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_nobs PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_stderr PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_loglike PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_ma_rep PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality_no_lags PASSED [ 99%]
3299s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_select_order PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_is_stable PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf_2_lags PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acorr PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast_interval PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_sim PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_acorr PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_forecast PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_reorder PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pickle PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_lutkepohl_parse PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_approx_mse PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_cum_irf_stderr PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_lr_effect_stderr PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_get_trendorder PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_constant PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_trend PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_trend PASSED [ 99%]
3300s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process_plotting PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_multiple_simulations PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_whiteness_nlag PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_maxlag PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_from_formula PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_correct_nobs PASSED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_err_bands SKIPPED [ 99%]
3314s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%]
3315s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%]
3316s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%]
3317s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%]
3318s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%]
3318s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%]
3319s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%]
3319s
3319s =============================== warnings summary ===============================
3319s base/tests/test_penalized.py: 2 warnings
3319s base/tests/test_shrink_pickle.py: 3 warnings
3319s discrete/tests/test_count_model.py: 1 warning
3319s discrete/tests/test_discrete.py: 8 warnings
3319s genmod/tests/test_glm.py: 1 warning
3319s tsa/statespace/tests/test_sarimax.py: 1 warning
3319s tsa/tests/test_exponential_smoothing.py: 1 warning
3319s tsa/vector_ar/tests/test_svar.py: 101 warnings
3319s /usr/lib/python3/dist-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
3319s warnings.warn("Maximum Likelihood optimization failed to "
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
3319s /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.
3319s warnings.warn(msg, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
3319s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 6 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean
3319s /usr/lib/python3/dist-packages/statsmodels/base/model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available
3319s warnings.warn('Inverting hessian failed, no bse or cov_params '
3319s
3319s discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params
3319s discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce
3319s return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
3319s
3319s discrete/tests/test_discrete.py::test_perfect_prediction
3319s discrete/tests/test_discrete.py::test_perfect_prediction
3319s discrete/tests/test_discrete.py::test_perfect_prediction
3319s /usr/lib/python3/dist-packages/statsmodels/discrete/discrete_model.py:227: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified
3319s warnings.warn(msg, category=PerfectSeparationWarning)
3319s
3319s discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param
3319s /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.
3319s warnings.warn(
3319s
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 8 out of 10 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence
3319s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict
3319s discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence
3319s discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict
3319s /usr/lib/python3/dist-packages/statsmodels/base/_prediction_inference.py:782: UserWarning: using default log-link in get_prediction
3319s warnings.warn("using default log-link in get_prediction")
3319s
3319s discrete/tests/test_predict.py::test_distr[case9]
3319s discrete/tests/test_predict.py::test_distr[case10]
3319s discrete/tests/test_predict.py::test_distr[case11]
3319s /usr/lib/python3/dist-packages/statsmodels/stats/outliers_influence.py:545: RuntimeWarning: invalid value encountered in sqrt
3319s return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag)
3319s
3319s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
3319s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 4 parameters
3319s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
3319s warnings.warn(message, ConvergenceWarning)
3319s
3319s formula/tests/test_formula.py::TestFormulaPandas::test_summary
3319s formula/tests/test_formula.py::TestFormulaDict::test_summary
3319s regression/tests/test_regression.py::TestOLS::test_summary_slim
3319s /usr/lib/python3/dist-packages/scipy/stats/_axis_nan_policy.py:418: UserWarning: `kurtosistest` p-value may be inaccurate with fewer than 20 observations; only n=16 observations were given.
3319s return hypotest_fun_in(*args, **kwds)
3319s
3319s genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True]
3319s genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True]
3319s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:314: RuntimeWarning: divide by zero encountered in log
3319s exposure = np.log(exposure)
3319s
3319s graphics/tests/test_functional.py: 16 warnings
3319s /usr/lib/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=3258) is multi-threaded, use of fork() may lead to deadlocks in the child.
3319s self.pid = os.fork()
3319s
3319s nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls
3319s /usr/lib/python3/dist-packages/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in divide
3319s B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2)
3319s
3319s nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs
3319s /usr/lib/python3/dist-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide
3319s res, _ = _lowess(y, x, x, np.ones_like(x),
3319s
3319s regression/tests/test_dimred.py::test_covreduce
3319s /usr/lib/python3/dist-packages/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955
3319s warnings.warn(msg, ConvergenceWarning)
3319s
3319s robust/tests/test_scale.py::TestHuberAxes::test_axis1
3319s /usr/lib/python3/dist-packages/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in divide
3319s subset = np.less_equal(np.abs((a - mu) / scale), self.c)
3319s
3319s sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict
3319s /usr/lib/python3/dist-packages/statsmodels/sandbox/gam.py:327: IterationLimitWarning:
3319s Maximum iteration reached.
3319s
3319s warnings.warn(iteration_limit_doc, IterationLimitWarning)
3319s
3319s sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict
3319s /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.
3319s warnings.warn("Negative binomial dispersion parameter alpha not "
3319s
3319s stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest
3319s stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest
3319s stats/tests/test_corrpsd.py::test_corrpsd_threshold[0]
3319s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15]
3319s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10]
3319s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06]
3319s /usr/lib/python3/dist-packages/statsmodels/stats/correlation_tools.py:89: IterationLimitWarning:
3319s Maximum iteration reached.
3319s
3319s warnings.warn(iteration_limit_doc, IterationLimitWarning)
3319s
3319s stats/tests/test_descriptivestats.py::test_description_basic
3319s stats/tests/test_descriptivestats.py::test_empty_columns
3319s stats/tests/test_descriptivestats.py::test_empty_columns
3319s /usr/lib/python3/dist-packages/statsmodels/stats/descriptivestats.py:406: SmallSampleWarning: One or more sample arguments is too small; all returned values will be NaN. See documentation for sample size requirements.
3319s mode_res = stats.mode(ser_no_missing, **kwargs)
3319s
3319s stats/tests/test_power.py::test_power_solver_warn
3319s /usr/lib/python3/dist-packages/statsmodels/stats/power.py:132: RuntimeWarning: invalid value encountered in sqrt
3319s pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma)
3319s
3319s stats/tests/test_tost.py::test_tost_asym
3319s /usr/lib/python3/dist-packages/statsmodels/stats/weightstats.py:1479: RuntimeWarning: invalid value encountered in log
3319s low = transform(low)
3319s
3319s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
3319s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
3319s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
3319s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
3319s /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.
3319s _index = to_datetime(index)
3319s
3319s tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r
3319s tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize
3319s /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
3319s return func(*args, **kwargs)
3319s
3319s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul]
3319s /usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/model.py:84: RuntimeWarning: overflow encountered in matmul
3319s return err.T @ err
3319s
3319s tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr]
3319s /usr/lib/python3/dist-packages/scipy/optimize/_differentiable_functions.py:316: 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.
3319s self.H.update(self.x - self.x_prev, self.g - self.g_prev)
3319s
3319s tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular]
3319s tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index
3319s /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.
3319s return get_prediction_index(
3319s
3319s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
3319s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
3319s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:898: RuntimeWarning: divide by zero encountered in scalar divide
3319s return np.sum(resid / self.family.variance(mu)) / self.df_resid
3319s
3319s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
3319s /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)
3319s warn(f'EM reached maximum number of iterations ({maxiter}),'
3319s
3319s tsa/statespace/tests/test_mlemodel.py::test_integer_params
3319s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/kalman_filter.py:1762: RuntimeWarning: invalid value encountered in scalar divide
3319s self.scale = np.sum(scale_obs[d:]) / nobs_k_endog
3319s
3319s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
3319s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/mlemodel.py:1235: RuntimeWarning: invalid value encountered in divide
3319s np.inner(score_obs, score_obs) /
3319s
3319s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
3319s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3787: RuntimeWarning: Degrees of freedom <= 0 for slice
3319s return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
3319s
3319s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
3319s /usr/lib/python3/dist-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
3319s arrmean = um.true_divide(arrmean, div, out=arrmean,
3319s
3319s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
3319s /usr/lib/python3/dist-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
3319s ret = ret.dtype.type(ret / rcount)
3319s
3319s tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma
3319s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
3319s warn('Non-invertible starting MA parameters found.'
3319s
3319s tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2]
3319s tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1]
3319s /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).
3319s warnings.warn(
3319s
3319s tsa/tests/test_exponential_smoothing.py::test_hessian
3319s /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.
3319s austourists_model_fit.model.hessian(
3319s
3319s tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic]
3319s /usr/lib/python3/dist-packages/statsmodels/tsa/exponential_smoothing/ets.py:1448: RuntimeWarning: invalid value encountered in divide
3319s self.standardized_forecasts_error = (
3319s
3319s tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values
3319s /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.
3319s actual_statistic, actual_pvalue = breakvar_heteroskedasticity_test(
3319s
3319s tsa/tests/test_stattools.py::TestKPSS::test_none
3319s /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
3319s look-up table. The actual p-value is smaller than the p-value returned.
3319s
3319s kpss(self.x, nlags=None)
3319s
3319s tsa/tests/test_stattools.py::test_pacf_1_obs
3319s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1483: RuntimeWarning: invalid value encountered in scalar divide
3319s r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed)
3319s
3319s tsa/tests/test_stattools.py::test_pacf_1_obs
3319s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1490: ValueWarning: Matrix is singular. Using pinv.
3319s warnings.warn("Matrix is singular. Using pinv.", ValueWarning)
3319s
3319s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:475
3319s /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-95uv_g9q'
3319s config.cache.set("cache/nodeids", sorted(self.cached_nodeids))
3319s
3319s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:51
3319s /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-s002wcn5'
3319s session.config.cache.set(STEPWISE_CACHE_DIR, [])
3319s
3319s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
3319s == 17463 passed, 395 skipped, 138 xfailed, 233 warnings in 1594.31s (0:26:34) ==
3322s autopkgtest [10:45:08]: test upstreamtests: -----------------------]
3323s upstreamtests PASS
3323s autopkgtest [10:45:09]: test upstreamtests: - - - - - - - - - - results - - - - - - - - - -
3324s autopkgtest [10:45:10]: @@@@@@@@@@@@@@@@@@@@ summary
3324s upstreamtests PASS
3343s nova [W] Using flock in prodstack6-ppc64el
3343s Creating nova instance adt-plucky-ppc64el-statsmodels-20250220-094946-juju-7f2275-prod-proposed-migration-environment-2-9647919c-f4cd-4e77-8d48-a4c909fecb8d from image adt/ubuntu-plucky-ppc64el-server-20250220.img (UUID 8cc835a1-8e62-4357-a4cf-395725ecab4d)...
3343s nova [W] Timed out waiting for ff361c89-d560-43d7-93d8-ceea8a8bf5b7 to get deleted.