0s autopkgtest [19:01:24]: starting date and time: 2024-11-08 19:01:24+0000
  0s autopkgtest [19:01:24]: git checkout: 6f3be7a8 Fix armhf LXD image generation for plucky
  0s autopkgtest [19:01:24]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.ze45potm/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:pandas,src:python-dateutil --apt-upgrade statsmodels --timeout-short=300 --timeout-copy=20000 --timeout-test=20000 --timeout-build=20000 '--env=ADT_TEST_TRIGGERS=pandas/2.2.3+dfsg-5 python-dateutil/2.9.0-3' -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-big-ppc64el --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-ppc64el-22.secgroup --name adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6 --image adt/ubuntu-plucky-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --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'"'"'' --mirror=http://ftpmaster.internal/ubuntu/
438s nova [W] Using flock in prodstack6-ppc64el
438s Creating nova instance adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6 from image adt/ubuntu-plucky-ppc64el-server-20241108.img (UUID 211c30ab-5e06-4166-a7df-df534accb012)...
438s nova [E] nova boot failed (attempt #0):
438s nova [E] DEBUG (extension:189) found extension EntryPoint.parse('v1password = swiftclient.authv1:PasswordLoader')
438s DEBUG (extension:189) found extension EntryPoint.parse('noauth = cinderclient.contrib.noauth:CinderNoAuthLoader')
438s DEBUG (extension:189) found extension EntryPoint.parse('admin_token = keystoneauth1.loading._plugins.admin_token:AdminToken')
438s DEBUG (extension:189) found extension EntryPoint.parse('none = keystoneauth1.loading._plugins.noauth:NoAuth')
438s DEBUG (extension:189) found extension EntryPoint.parse('password = keystoneauth1.loading._plugins.identity.generic:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('token = keystoneauth1.loading._plugins.identity.generic:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v2password = keystoneauth1.loading._plugins.identity.v2:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v2token = keystoneauth1.loading._plugins.identity.v2:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3adfspassword = keystoneauth1.extras._saml2._loading:ADFSPassword')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3applicationcredential = keystoneauth1.loading._plugins.identity.v3:ApplicationCredential')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3fedkerb = keystoneauth1.extras.kerberos._loading:MappedKerberos')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3kerberos = keystoneauth1.extras.kerberos._loading:Kerberos')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3multifactor = keystoneauth1.loading._plugins.identity.v3:MultiFactor')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oauth1 = keystoneauth1.extras.oauth1._loading:V3OAuth1')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcaccesstoken = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectAccessToken')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcauthcode = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectAuthorizationCode')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcclientcredentials = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectClientCredentials')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcpassword = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectPassword')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3password = keystoneauth1.loading._plugins.identity.v3:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3samlpassword = keystoneauth1.extras._saml2._loading:Saml2Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3token = keystoneauth1.loading._plugins.identity.v3:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3tokenlessauth = keystoneauth1.loading._plugins.identity.v3:TokenlessAuth')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3totp = keystoneauth1.loading._plugins.identity.v3:TOTP')
438s DEBUG (session:517) REQ: curl -g -i -X GET https://keystone.ps6.canonical.com:5000/v3 -H "Accept: application/json" -H "User-Agent: nova keystoneauth1/4.0.0 python-requests/2.22.0 CPython/3.8.10"
438s DEBUG (connectionpool:962) Starting new HTTPS connection (1): keystone.ps6.canonical.com:5000
438s DEBUG (connectionpool:429) https://keystone.ps6.canonical.com:5000 "GET /v3 HTTP/1.1" 200 267
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 267 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:32 GMT Keep-Alive: timeout=75, max=1000 Server: Apache/2.4.52 (Ubuntu) Vary: X-Auth-Token x-openstack-request-id: req-df39dc37-a19f-4939-9b46-ffc3db8c55b5
438s DEBUG (session:580) RESP BODY: {"version": {"id": "v3.14", "status": "stable", "updated": "2020-04-07T00:00:00Z", "links": [{"rel": "self", "href": "https://keystone.ps6.canonical.com:5000/v3/"}], "media-types": [{"base": "application/json", "type": "application/vnd.openstack.identity-v3+json"}]}}
438s DEBUG (session:946) GET call to https://keystone.ps6.canonical.com:5000/v3 used request id req-df39dc37-a19f-4939-9b46-ffc3db8c55b5
438s DEBUG (base:182) Making authentication request to https://keystone.ps6.canonical.com:5000/v3/auth/tokens
438s DEBUG (connectionpool:429) https://keystone.ps6.canonical.com:5000 "POST /v3/auth/tokens HTTP/1.1" 201 12525
438s DEBUG (base:187) {"token": {"methods": ["password"], "user": {"domain": {"id": "default", "name": "Default"}, "id": "c871debdeffd4cb8b69ce618fc4aa361", "name": "prod-proposed-migration-ppc64el", "password_expires_at": null}, "audit_ids": ["IjIV6g8TRzayw-OHHUj-VA"], "expires_at": "2024-11-09T19:02:33.000000Z", "issued_at": "2024-11-08T19:02:33.000000Z", "project": {"domain": {"id": "default", "name": "Default"}, "id": "623df63b80274c21bc79a0c35e68d615", "name": "prod-proposed-migration-ppc64el_project"}, "is_domain": false, "roles": [{"id": "86bf3043974746c2bf52c2a9f362f986", "name": "reader"}, {"id": "80674fb26dab46e9a6bd57e7f8193360", "name": "load-balancer_member"}, {"id": "15cf997650e345b7b21c02b5cdb7d84a", "name": "member"}], "is_admin_project": false, "catalog": [{"endpoints": [{"id": "213cdf38198c4581bd5b7d6d0836923b", "interface": "internal", "region_id": "prodstack6", "url": "https://radosgw-internal.ps6.canonical.com:443/", "region": "prodstack6"}, {"id": "67061eee26944a1a8009f9d07be19738", "interface": "public", "region_id": "prodstack6", "url": "https://radosgw.ps6.canonical.com:443/", "region": "prodstack6"}, {"id": "fc88c52c749a47d08a24a2c7efbde01b", "interface": "admin", "region_id": "prodstack6", "url": "https://radosgw-admin.ps6.canonical.com:443/", "region": "prodstack6"}], "id": "06e4714942634054bf9aa11715312b4e", "type": "s3", "name": "s3"}, {"endpoints": [{"id": "8aa44c94b63746bd9b37f1008ad55fa8", "interface": "admin", "region_id": "prodstack6", "url": "https://aodh-admin.ps6.canonical.com:8042", "region": "prodstack6"}, {"id": "92cf08a80a0242ebbca8ec893cf332b1", "interface": "public", "region_id": "prodstack6", "url": "https://aodh.ps6.canonical.com:8042", "region": "prodstack6"}, {"id": "d8139c6e11ae4edcb78981c12bd53212", "interface": "internal", "region_id": "prodstack6", "url": "https://aodh-internal.ps6.canonical.com:8042", "region": "prodstack6"}], "id": "2fb939b0b969435c8f0c5fa4edb4de94", "type": "alarming", "name": "aodh"}, {"endpoints": [{"id": "a49fcc80e658411885f88cdd8432a571", "interface": "internal", "region_id": "prodstack6", "url": "https://heat-internal.ps6.canonical.com:8000/v1", "region": "prodstack6"}, {"id": "b23866fddba8415885b06c064c34b94b", "interface": "public", "region_id": "prodstack6", "url": "https://heat.ps6.canonical.com:8000/v1", "region": "prodstack6"}, {"id": "f84ae55197f94b8392a678f35c82ca26", "interface": "admin", "region_id": "prodstack6", "url": "https://heat-admin.ps6.canonical.com:8000/v1", "region": "prodstack6"}], "id": "3d4b59f7dab644b2b527e8e96b697545", "type": "cloudformation", "name": "heat-cfn"}, {"endpoints": [{"id": "2e0143334c6241169f45f1c11970c6bc", "interface": "public", "region_id": "prodstack6", "url": "https://heat.ps6.canonical.com:8004/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "5e19c32243c04a3faf1e5f9ab900c260", "interface": "internal", "region_id": "prodstack6", "url": "https://heat-internal.ps6.canonical.com:8004/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "b3fc5c88ec8543a691fec75726b86967", "interface": "admin", "region_id": "prodstack6", "url": "https://heat-admin.ps6.canonical.com:8004/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}], "id": "43b926205044476b8093b18d8ce0a9e4", "type": "orchestration", "name": "heat"}, {"endpoints": [{"id": "a47569b96e5b4146a312e4673504557c", "interface": "public", "region_id": "prodstack6", "url": "https://glance.ps6.canonical.com:9292", "region": "prodstack6"}, {"id": "bba35c4ab04f4114a2a34e65568537bd", "interface": "internal", "region_id": "prodstack6", "url": "https://glance-internal.ps6.canonical.com:9292", "region": "prodstack6"}, {"id": "ef769f1117c74a62a279131486c89628", "interface": "admin", "region_id": "prodstack6", "url": "https://glance-admin.ps6.canonical.com:9292", "region": "prodstack6"}], "id": "49de724549524bd78e9cd46a4477226f", "type": "image", "name": "glance"}, {"endpoints": [{"id": "a1a41e9a1e2d42e5b6cd5380cd1e21bf", "interface": "admin", "region_id": "prodstack6", "url": "https://cinder-admin.ps6.canonical.com:8776/v3/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "d2309a99724b4111827482c68a832c0c", "interface": "public", "region_id": "prodstack6", "url": "https://cinder.ps6.canonical.com:8776/v3/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "f8a02e3949ff42afa772eb5e74dbef9f", "interface": "internal", "region_id": "prodstack6", "url": "https://cinder-internal.ps6.canonical.com:8776/v3/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}], "id": "5bf6578a631349e3af4bf36d7adb18e1", "type": "volumev3", "name": "cinderv3"}, {"endpoints": [{"id": "01d84128f36444e9b01549b86bd69116", "interface": "admin", "region_id": "prodstack6", "url": "https://barbican-admin.ps6.canonical.com:9312", "region": "prodstack6"}, {"id": "0ce4a8777e0b40a88f7fc0f77e34a605", "interface": "public", "region_id": "prodstack6", "url": "https://barbican.ps6.canonical.com:9311", "region": "prodstack6"}, {"id": "f507ba49e4a7435cb330234217c92449", "interface": "internal", "region_id": "prodstack6", "url": "https://barbican-internal.ps6.canonical.com:9311", "region": "prodstack6"}], "id": "62cb1c3d9f6c45979c13516a6b3ff114", "type": "key-manager", "name": "barbican"}, {"endpoints": [{"id": "3cb6121bd8f14da8aa2fba7be823a2b4", "interface": "internal", "region_id": "prodstack6", "url": "https://neutron-internal.ps6.canonical.com:9696", "region": "prodstack6"}, {"id": "46ba11d133fe4e8f9e8f9097ba737682", "interface": "admin", "region_id": "prodstack6", "url": "https://neutron-admin.ps6.canonical.com:9696", "region": "prodstack6"}, {"id": "d872eb6aa23d40009165aa3dcdce3948", "interface": "public", "region_id": "prodstack6", "url": "https://neutron.ps6.canonical.com:9696", "region": "prodstack6"}], "id": "759cb6fdfbc146dd8b9d1ba444c4b9db", "type": "network", "name": "neutron"}, {"endpoints": [{"id": "4349d565f72446da9699269f85df5e8b", "interface": "internal", "region_id": "prodstack6", "url": "https://manila-internal.ps6.canonical.com:8786/v2/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "a483dcc58f5e415e9ec739c94474e609", "interface": "public", "region_id": "prodstack6", "url": "https://manila.ps6.canonical.com:8786/v2/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "c1f14236723e42878562d8dd63d5a6a0", "interface": "admin", "region_id": "prodstack6", "url": "https://manila-admin.ps6.canonical.com:8786/v2/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}], "id": "93fc4008035946deb1f433c2dd905a5d", "type": "sharev2", "name": "manilav2"}, {"endpoints": [{"id": "0fa148793c7249c8b187b6b4ff425731", "interface": "internal", "region_id": "prodstack6", "url": "https://radosgw-internal.ps6.canonical.com:443/swift/v1/AUTH_e4b04ca58d734ed0aa29e306adad4f79/simplestreams/data", "region": "prodstack6"}, {"id": "555ade266a6b4bcc81b6e5abf607aec5", "interface": "public", "region_id": "prodstack6", "url": "https://radosgw.ps6.canonical.com:443/swift/v1/AUTH_e4b04ca58d734ed0aa29e306adad4f79/simplestreams/data", "region": "prodstack6"}, {"id": "7dad1a7b1552465686424fc014463173", "interface": "admin", "region_id": "prodstack6", "url": "https://radosgw-admin.ps6.canonical.com:443/swift/simplestreams/data", "region": "prodstack6"}], "id": "977dd359af1a4fcc91a9daf4dc33b0f3", "type": "product-streams", "name": "image-stream"}, {"endpoints": [{"id": "12d30eabcdec4831bd15273d55b1cbab", "interface": "internal", "region_id": "prodstack6", "url": "https://manila-internal.ps6.canonical.com:8786/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "29d35b2b483346479f1ff1a13604d50e", "interface": "admin", "region_id": "prodstack6", "url": "https://manila-admin.ps6.canonical.com:8786/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "4aa1422b8f5945d8aed9ba6a8d670e5c", "interface": "public", "region_id": "prodstack6", "url": "https://manila.ps6.canonical.com:8786/v1/623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}], "id": "ac5e4f28fa794cde99f1d7ffc1b664e5", "type": "share", "name": "manila"}, {"endpoints": [{"id": "c7db93d54a684d8caeae1d9e18a59118", "interface": "admin", "region_id": "prodstack6", "url": "https://nova-admin.ps6.canonical.com:8774/v2.1", "region": "prodstack6"}, {"id": "dd7a796f401b477f9f1b5bbc05747d8d", "interface": "public", "region_id": "prodstack6", "url": "https://nova.ps6.canonical.com:8774/v2.1", "region": "prodstack6"}, {"id": "e7ecb038d830462ea67b0b463af5e013", "interface": "internal", "region_id": "prodstack6", "url": "https://nova-internal.ps6.canonical.com:8774/v2.1", "region": "prodstack6"}], "id": "b4519af08e174d4a8333a2d14ac3ba3b", "type": "compute", "name": "nova"}, {"endpoints": [{"id": "02ef5b6154934ffd97d8b5b8e4d70d2a", "interface": "internal", "region_id": "prodstack6", "url": "https://radosgw-internal.ps6.canonical.com:443/swift/v1/AUTH_623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "2741abe526e94842a4fa801423ba1ef0", "interface": "public", "region_id": "prodstack6", "url": "https://radosgw.ps6.canonical.com:443/swift/v1/AUTH_623df63b80274c21bc79a0c35e68d615", "region": "prodstack6"}, {"id": "3742f9406c604516933d6fd8c29e0880", "interface": "admin", "region_id": "prodstack6", "url": "https://radosgw-admin.ps6.canonical.com:443/swift", "region": "prodstack6"}], "id": "c7f07a7b3b3c408c96200dfd1d1a0f6f", "type": "object-store", "name": "swift"}, {"endpoints": [{"id": "06d4ed6c160a43f2b7fa7f80ad1dc709", "interface": "internal", "region_id": "prodstack6", "url": "https://designate-internal.ps6.canonical.com:9001", "region": "prodstack6"}, {"id": "1e240624a50c4ca0aaa6ef63cbc94f1b", "interface": "admin", "region_id": "prodstack6", "url": "https://designate-admin.ps6.canonical.com:9001", "region": "prodstack6"}, {"id": "f94d7d17997a43fd9c63b34c43301c6e", "interface": "public", "region_id": "prodstack6", "url": "https://designate.ps6.canonical.com:9001", "region": "prodstack6"}], "id": "cf82013d63844fedbe96bcacb6bd1fef", "type": "dns", "name": "designate"}, {"endpoints": [{"id": "4a688340be464710bfa60bf3f88f41c4", "interface": "admin", "region_id": "prodstack6", "url": "https://gnocchi-admin.ps6.canonical.com:8041", "region": "prodstack6"}, {"id": "a5a95506c96d4716adb4efc3ac9051be", "interface": "public", "region_id": "prodstack6", "url": "https://gnocchi.ps6.canonical.com:8041", "region": "prodstack6"}, {"id": "eebc17a086834f8fa8bb6b35c8061a8c", "interface": "internal", "region_id": "prodstack6", "url": "https://gnocchi-internal.ps6.canonical.com:8041", "region": "prodstack6"}], "id": "d10589e854a446a5b852593f33f170a7", "type": "metric", "name": "gnocchi"}, {"endpoints": [{"id": "08f66df28d0f47f3bec12f29e06d85ac", "interface": "admin", "region_id": "prodstack6", "url": "https://keystone-admin.ps6.canonical.com:35357/v3", "region": "prodstack6"}, {"id": "46d270b45ceb42db902f4d241afa6a70", "interface": "public", "region_id": "prodstack6", "url": "https://keystone.ps6.canonical.com:5000/v3", "region": "prodstack6"}, {"id": "a4addee11d9349cfa46ec6660dbad947", "interface": "internal", "region_id": "prodstack6", "url": "https://keystone-internal.ps6.canonical.com:5000/v3", "region": "prodstack6"}], "id": "deb38a775a9b4e87a8de9e3eed779882", "type": "identity", "name": "keystone"}, {"endpoints": [{"id": "18b4af5f40664babb94e884c6a53ccf3", "interface": "admin", "region_id": "prodstack6", "url": "https://octavia-admin.ps6.canonical.com:9876", "region": "prodstack6"}, {"id": "2b6f7ba7f9944ee1aebd6dccc5223b2d", "interface": "internal", "region_id": "prodstack6", "url": "https://octavia-internal.ps6.canonical.com:9876", "region": "prodstack6"}, {"id": "5e3012e9c79e4890be4d964b6208f5c6", "interface": "public", "region_id": "prodstack6", "url": "https://octavia.ps6.canonical.com:9876", "region": "prodstack6"}], "id": "e00337be20d54948b66a1c3109b885c6", "type": "load-balancer", "name": "octavia"}, {"endpoints": [{"id": "2d2942b35f3041389ad810f679d02f22", "interface": "public", "region_id": "prodstack6", "url": "https://placement.ps6.canonical.com:8778", "region": "prodstack6"}, {"id": "2e3beaac7ac14284b72e2592820ad725", "interface": "admin", "region_id": "prodstack6", "url": "https://placement-admin.ps6.canonical.com:8778", "region": "prodstack6"}, {"id": "91060f6df9ae444f81808adf40540d94", "interface": "internal", "region_id": "prodstack6", "url": "https://placement-internal.ps6.canonical.com:8778", "region": "prodstack6"}], "id": "edc6e37f154f4c0ab3dd4d52b82bf873", "type": "placement", "name": "placement"}]}}
438s REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1 -H "Accept: application/json" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df"
438s DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1 -H "Accept: application/json" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df"
438s DEBUG (connectionpool:962) Starting new HTTPS connection (1): nova.ps6.canonical.com:8774
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1 HTTP/1.1" 302 0
438s RESP: [302] Connection: Keep-Alive Content-Length: 0 Content-Type: text/plain; charset=utf8 Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=1000 Location: https://nova.ps6.canonical.com:8774/v2.1/ Server: Apache/2.4.52 (Ubuntu) x-compute-request-id: req-e3c0fd18-7f08-4769-a477-c1051ee8401c x-openstack-request-id: req-e3c0fd18-7f08-4769-a477-c1051ee8401c
438s DEBUG (session:548) RESP: [302] Connection: Keep-Alive Content-Length: 0 Content-Type: text/plain; charset=utf8 Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=1000 Location: https://nova.ps6.canonical.com:8774/v2.1/ Server: Apache/2.4.52 (Ubuntu) x-compute-request-id: req-e3c0fd18-7f08-4769-a477-c1051ee8401c x-openstack-request-id: req-e3c0fd18-7f08-4769-a477-c1051ee8401c
438s RESP BODY: Omitted, Content-Type is set to text/plain; charset=utf8. Only application/json responses have their bodies logged.
438s DEBUG (session:580) RESP BODY: Omitted, Content-Type is set to text/plain; charset=utf8. Only application/json responses have their bodies logged.
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/ HTTP/1.1" 200 397
438s RESP: [200] Connection: Keep-Alive Content-Length: 397 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=999 OpenStack-API-Version: compute 2.1 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.1 x-compute-request-id: req-02d19893-1431-402a-8402-a08376779046 x-openstack-request-id: req-02d19893-1431-402a-8402-a08376779046
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 397 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=999 OpenStack-API-Version: compute 2.1 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.1 x-compute-request-id: req-02d19893-1431-402a-8402-a08376779046 x-openstack-request-id: req-02d19893-1431-402a-8402-a08376779046
438s RESP BODY: {"version": {"id": "v2.1", "status": "CURRENT", "version": "2.90", "min_version": "2.1", "updated": "2013-07-23T11:33:21Z", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/"}, {"rel": "describedby", "type": "text/html", "href": "http://docs.openstack.org/"}], "media-types": [{"base": "application/json", "type": "application/vnd.openstack.compute+json;version=2.1"}]}}
438s DEBUG (session:580) RESP BODY: {"version": {"id": "v2.1", "status": "CURRENT", "version": "2.90", "min_version": "2.1", "updated": "2013-07-23T11:33:21Z", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/"}, {"rel": "describedby", "type": "text/html", "href": "http://docs.openstack.org/"}], "media-types": [{"base": "application/json", "type": "application/vnd.openstack.compute+json;version=2.1"}]}}
438s GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/ used request id req-02d19893-1431-402a-8402-a08376779046
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/ used request id req-02d19893-1431-402a-8402-a08376779046
438s DEBUG (extension:189) found extension EntryPoint.parse('v1password = swiftclient.authv1:PasswordLoader')
438s DEBUG (extension:189) found extension EntryPoint.parse('noauth = cinderclient.contrib.noauth:CinderNoAuthLoader')
438s DEBUG (extension:189) found extension EntryPoint.parse('admin_token = keystoneauth1.loading._plugins.admin_token:AdminToken')
438s DEBUG (extension:189) found extension EntryPoint.parse('none = keystoneauth1.loading._plugins.noauth:NoAuth')
438s DEBUG (extension:189) found extension EntryPoint.parse('password = keystoneauth1.loading._plugins.identity.generic:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('token = keystoneauth1.loading._plugins.identity.generic:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v2password = keystoneauth1.loading._plugins.identity.v2:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v2token = keystoneauth1.loading._plugins.identity.v2:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3adfspassword = keystoneauth1.extras._saml2._loading:ADFSPassword')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3applicationcredential = keystoneauth1.loading._plugins.identity.v3:ApplicationCredential')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3fedkerb = keystoneauth1.extras.kerberos._loading:MappedKerberos')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3kerberos = keystoneauth1.extras.kerberos._loading:Kerberos')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3multifactor = keystoneauth1.loading._plugins.identity.v3:MultiFactor')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oauth1 = keystoneauth1.extras.oauth1._loading:V3OAuth1')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcaccesstoken = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectAccessToken')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcauthcode = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectAuthorizationCode')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcclientcredentials = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectClientCredentials')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3oidcpassword = keystoneauth1.loading._plugins.identity.v3:OpenIDConnectPassword')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3password = keystoneauth1.loading._plugins.identity.v3:Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3samlpassword = keystoneauth1.extras._saml2._loading:Saml2Password')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3token = keystoneauth1.loading._plugins.identity.v3:Token')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3tokenlessauth = keystoneauth1.loading._plugins.identity.v3:TokenlessAuth')
438s DEBUG (extension:189) found extension EntryPoint.parse('v3totp = keystoneauth1.loading._plugins.identity.v3:TOTP')
438s DEBUG (session:517) REQ: curl -g -i -X GET https://glance.ps6.canonical.com:9292/v2/images/211c30ab-5e06-4166-a7df-df534accb012 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:962) Starting new HTTPS connection (1): glance.ps6.canonical.com:9292
438s DEBUG (connectionpool:429) https://glance.ps6.canonical.com:9292 "GET /v2/images/211c30ab-5e06-4166-a7df-df534accb012 HTTP/1.1" 200 2292
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 2292 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=1000 Server: Apache/2.4.52 (Ubuntu) X-Openstack-Request-Id: req-d4203b1d-1cfa-40e7-b19c-b43ca33dfa43
438s DEBUG (session:580) RESP BODY: {"architecture": "ppc64le", "base_image_ref": "302dbebd-8fb5-46eb-aa5c-84ec11ab5c95", "boot_roles": "reader,load-balancer_member,member", "content_id": "auto.sync", "hw_cdrom_bus": "scsi", "hw_disk_bus": "virtio", "hw_machine_type": "pseries", "hw_video_model": "vga", "hw_vif_model": "virtio", "image_location": "snapshot", "image_state": "available", "image_type": "snapshot", "instance_uuid": "aa592ad8-322b-4daf-a0b8-7e457020c5f9", "item_name": "disk1.img", "os_distro": "ubuntu", "os_version": "24.10", "owner_id": "623df63b80274c21bc79a0c35e68d615", "owner_project_name": "prod-proposed-migration-ppc64el_project", "owner_user_name": "prod-proposed-migration-ppc64el", "product_name": "com.ubuntu.cloud.daily:server:24.10:ppc64el", "simplestreams_metadata": "{\"aliases\": \"24.10,o,oracular,devel\", \"arch\": \"ppc64el\", \"ftype\": \"disk1.img\", \"label\": \"daily\", \"md5\": \"fd88d9a689ac4d7ab4bea632de90d355\", \"os\": \"ubuntu\", \"pubname\": \"ubuntu-oracular-daily-ppc64el-server-20241009\", \"release\": \"oracular\", \"release_codenam", "source_content_id": "com.ubuntu.cloud:daily:download", "user_id": "c871debdeffd4cb8b69ce618fc4aa361", "version_name": "20241009", "name": "adt/ubuntu-plucky-ppc64el-server-20241108.img", "disk_format": "qcow2", "container_format": "bare", "visibility": "private", "size": 2700607488, "virtual_size": 21474836480, "status": "active", "checksum": "da760bd10ca23c6200d0eeae1a67b5a8", "protected": false, "min_ram": 0, "min_disk": 20, "owner": "623df63b80274c21bc79a0c35e68d615", "os_hidden": false, "os_hash_algo": "sha512", "os_hash_value": "dae18d7cd799254396e7c7341f2eacd6b7d349347c7dc2cd9549589ea957fff65f0bc38c0142102ab35e2cfa3e5d3a9e9f870de682d49f85d8fcaf8eb8ece431", "id": "211c30ab-5e06-4166-a7df-df534accb012", "created_at": "2024-11-08T08:37:58Z", "updated_at": "2024-11-08T08:38:41Z", "locations": [{"url": "rbd://eea9d068-c18c-11ed-8dc0-013aacb71b80/glance/211c30ab-5e06-4166-a7df-df534accb012/snap", "metadata": {"store": "ceph"}}], "direct_url": "rbd://eea9d068-c18c-11ed-8dc0-013aacb71b80/glance/211c30ab-5e06-4166-a7df-df534accb012/snap", "tags": [], "self": "/v2/images/211c30ab-5e06-4166-a7df-df534accb012", "file": "/v2/images/211c30ab-5e06-4166-a7df-df534accb012/file", "schema": "/v2/schemas/image", "stores": "ceph"}
438s DEBUG (session:936) GET call to image for https://glance.ps6.canonical.com:9292/v2/images/211c30ab-5e06-4166-a7df-df534accb012 used request id req-d4203b1d-1cfa-40e7-b19c-b43ca33dfa43
438s DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/flavors/autopkgtest-big-ppc64el -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/flavors/autopkgtest-big-ppc64el HTTP/1.1" 404 96
438s DEBUG (session:548) RESP: [404] Connection: Keep-Alive Content-Length: 96 Content-Type: application/json; charset=UTF-8 Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=998 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-3f35defc-467b-4cb6-8719-b8ffcf9ec773 x-openstack-request-id: req-3f35defc-467b-4cb6-8719-b8ffcf9ec773
438s DEBUG (session:580) RESP BODY: {"itemNotFound": {"code": 404, "message": "Flavor autopkgtest-big-ppc64el could not be found."}}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/flavors/autopkgtest-big-ppc64el used request id req-3f35defc-467b-4cb6-8719-b8ffcf9ec773
438s DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/flavors?is_public=None -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/flavors?is_public=None HTTP/1.1" 200 40172
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 40172 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:33 GMT Keep-Alive: timeout=75, max=997 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-d5524906-52cd-478f-a46c-f5c2deff13de x-openstack-request-id: req-d5524906-52cd-478f-a46c-f5c2deff13de
438s DEBUG (session:580) RESP BODY: {"flavors": [{"id": "05338e57-e2ba-4813-9a8a-2f2af73f8ab2", "name": "builder-ppc64el-cpu2-ram4-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/05338e57-e2ba-4813-9a8a-2f2af73f8ab2"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/05338e57-e2ba-4813-9a8a-2f2af73f8ab2"}], "description": null}, {"id": "08090b4b-98a9-4c15-8ad4-cc6711700879", "name": "builder-ppc64el-cpu8-ram64-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/08090b4b-98a9-4c15-8ad4-cc6711700879"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/08090b4b-98a9-4c15-8ad4-cc6711700879"}], "description": null}, {"id": "0825b8b1-2b9c-42bf-b3e6-e827c22d8df5", "name": "builder-ppc64el-cpu8-ram4-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/0825b8b1-2b9c-42bf-b3e6-e827c22d8df5"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/0825b8b1-2b9c-42bf-b3e6-e827c22d8df5"}], "description": null}, {"id": "0b06db45-151e-44b2-b0f5-f069ad7fa1cb", "name": "builder-ppc64el-cpu2-ram12-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/0b06db45-151e-44b2-b0f5-f069ad7fa1cb"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/0b06db45-151e-44b2-b0f5-f069ad7fa1cb"}], "description": null}, {"id": "0dbf127e-3101-4f05-9d37-15ad6d2a45c1", "name": "builder-ppc64el-cpu2-ram16-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/0dbf127e-3101-4f05-9d37-15ad6d2a45c1"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/0dbf127e-3101-4f05-9d37-15ad6d2a45c1"}], "description": null}, {"id": "102d0b57-e8d2-46c6-9be4-f452119a0280", "name": "autopkgtest-ppc64el", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/102d0b57-e8d2-46c6-9be4-f452119a0280"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/102d0b57-e8d2-46c6-9be4-f452119a0280"}], "description": null}, {"id": "1219f5f0-83f3-4d33-a3bb-1a85c6303159", "name": "builder-ppc64el-cpu128-ram64-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/1219f5f0-83f3-4d33-a3bb-1a85c6303159"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/1219f5f0-83f3-4d33-a3bb-1a85c6303159"}], "description": null}, {"id": "1359c5a4-ee60-4855-9bcc-defd3bff7121", "name": "builder-ppc64el-cpu8-ram8-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/1359c5a4-ee60-4855-9bcc-defd3bff7121"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/1359c5a4-ee60-4855-9bcc-defd3bff7121"}], "description": null}, {"id": "161f21bc-11f7-4ec9-a322-04fc3e0d2a68", "name": "builder-ppc64el-cpu2-ram55-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/161f21bc-11f7-4ec9-a322-04fc3e0d2a68"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/161f21bc-11f7-4ec9-a322-04fc3e0d2a68"}], "description": null}, {"id": "166070cd-7110-473e-a6a2-5e25aa9eeefd", "name": "builder-ppc64el-cpu4-ram64-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/166070cd-7110-473e-a6a2-5e25aa9eeefd"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/166070cd-7110-473e-a6a2-5e25aa9eeefd"}], "description": null}, {"id": "16a0a259-4627-4fbd-bb9d-a3e69346467c", "name": "builder-ppc64el-cpu8-ram64-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/16a0a259-4627-4fbd-bb9d-a3e69346467c"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/16a0a259-4627-4fbd-bb9d-a3e69346467c"}], "description": null}, {"id": "1c59e50a-1a67-4691-8f2c-6954cb0f83ba", "name": "builder-ppc64el-cpu4-ram128-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/1c59e50a-1a67-4691-8f2c-6954cb0f83ba"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/1c59e50a-1a67-4691-8f2c-6954cb0f83ba"}], "description": null}, {"id": "1c94efa8-905a-4bff-8485-0aaf9ac47fe7", "name": "builder-ppc64el-cpu4-ram16-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/1c94efa8-905a-4bff-8485-0aaf9ac47fe7"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/1c94efa8-905a-4bff-8485-0aaf9ac47fe7"}], "description": null}, {"id": "213c954d-26ed-4c86-9592-66384bc22c82", "name": "builder-ppc64el-cpu4-ram16-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/213c954d-26ed-4c86-9592-66384bc22c82"}, {"rel": "bookmark", "href": 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"https://nova.ps6.canonical.com:8774/flavors/e4437d6f-4673-4fcb-89e8-1ce861789538"}], "description": null}, {"id": "e628d527-f077-426d-9380-5eea778aabc2", "name": "builder-ppc64el-cpu8-ram16-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/e628d527-f077-426d-9380-5eea778aabc2"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/e628d527-f077-426d-9380-5eea778aabc2"}], "description": null}, {"id": "e752e039-cbe4-4a16-8197-de87ba42b83e", "name": "builder-ppc64el-cpu64-ram256-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/e752e039-cbe4-4a16-8197-de87ba42b83e"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/e752e039-cbe4-4a16-8197-de87ba42b83e"}], "description": null}, {"id": "e7f811c8-a60c-45c6-86c8-8e4b025751df", "name": "builder-ppc64el-cpu4-ram16-disk40", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/e7f811c8-a60c-45c6-86c8-8e4b025751df"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/e7f811c8-a60c-45c6-86c8-8e4b025751df"}], "description": null}, {"id": "eb80d7e2-b6e1-42a5-b80d-3dad861f6989", "name": "builder-ppc64el-cpu16-ram4-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/eb80d7e2-b6e1-42a5-b80d-3dad861f6989"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/eb80d7e2-b6e1-42a5-b80d-3dad861f6989"}], "description": null}, {"id": "ed127e2b-02b8-4e61-bf10-0c89b90928e6", "name": "builder-ppc64el-cpu64-ram128-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/ed127e2b-02b8-4e61-bf10-0c89b90928e6"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/ed127e2b-02b8-4e61-bf10-0c89b90928e6"}], "description": null}, {"id": "ef7301a7-71f4-48ac-b387-23251f4060e1", "name": "builder-ppc64el-cpu16-ram8-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/ef7301a7-71f4-48ac-b387-23251f4060e1"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/ef7301a7-71f4-48ac-b387-23251f4060e1"}], "description": null}, {"id": "f0f1af4d-f230-40c1-b789-c94e02a68daa", "name": "builder-ppc64el-cpu16-ram8-disk20", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/f0f1af4d-f230-40c1-b789-c94e02a68daa"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/f0f1af4d-f230-40c1-b789-c94e02a68daa"}], "description": null}, {"id": "f40b2dbc-5d69-40b0-a9fc-71c32de93ca3", "name": "autopkgtest-big-ppc64el", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3"}], "description": null}, {"id": "f6aae414-e26b-4692-95d4-d851b6993c2a", "name": "builder-ppc64el-cpu2-ram8-disk50", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/f6aae414-e26b-4692-95d4-d851b6993c2a"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/f6aae414-e26b-4692-95d4-d851b6993c2a"}], "description": null}, {"id": "f91b245b-ad92-47f6-8861-d1e070fcc19c", "name": "builder-ppc64el-cpu2-ram64-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/f91b245b-ad92-47f6-8861-d1e070fcc19c"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/f91b245b-ad92-47f6-8861-d1e070fcc19c"}], "description": null}, {"id": "fa3bbba4-5e72-4ca3-9661-ccf45947bbf5", "name": "builder-ppc64el-cpu16-ram4-disk100", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/fa3bbba4-5e72-4ca3-9661-ccf45947bbf5"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/fa3bbba4-5e72-4ca3-9661-ccf45947bbf5"}], "description": null}, {"id": "ff4cf1ee-6e00-49b7-9d11-fafa69b910df", "name": "builder-ppc64el-cpu8-ram32-disk40", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/ff4cf1ee-6e00-49b7-9d11-fafa69b910df"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/ff4cf1ee-6e00-49b7-9d11-fafa69b910df"}], "description": null}]}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/flavors?is_public=None used request id req-d5524906-52cd-478f-a46c-f5c2deff13de
438s DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3 HTTP/1.1" 200 628
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 628 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:34 GMT Keep-Alive: timeout=75, max=996 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-0a26458e-c7d4-4222-a4e2-500291720e93 x-openstack-request-id: req-0a26458e-c7d4-4222-a4e2-500291720e93
438s DEBUG (session:580) RESP BODY: {"flavor": {"id": "f40b2dbc-5d69-40b0-a9fc-71c32de93ca3", "name": "autopkgtest-big-ppc64el", "ram": 8192, "disk": 100, "swap": 0, "OS-FLV-EXT-DATA:ephemeral": 0, "OS-FLV-DISABLED:disabled": false, "vcpus": 4, "os-flavor-access:is_public": false, "rxtx_factor": 1.0, "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3"}], "description": null, "extra_specs": {"aggregate_instance_extra_specs:commit": "builder-ppc64el", "hw_rng:allowed": "True"}}}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/flavors/f40b2dbc-5d69-40b0-a9fc-71c32de93ca3 used request id req-0a26458e-c7d4-4222-a4e2-500291720e93
438s DEBUG (session:517) REQ: curl -g -i -X POST https://nova.ps6.canonical.com:8774/v2.1/servers -H "Accept: application/json" -H "Content-Type: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87" -d '{"server": {"name": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6", "imageRef": "211c30ab-5e06-4166-a7df-df534accb012", "flavorRef": "f40b2dbc-5d69-40b0-a9fc-71c32de93ca3", "user_data": "I2Nsb3VkLWNvbmZpZwpob3N0bmFtZTogYXV0b3BrZ3Rlc3QKZnFkbjogYXV0b3BrZ3Rlc3QubG9jYWwKbWFuYWdlX2V0Y19ob3N0czogdHJ1ZQphcHRfdXBkYXRlOiB0cnVlCmFwdF91cGdyYWRlOiBmYWxzZQphcHRfbWlycm9yOiBodHRwOi8vZnRwbWFzdGVyLmludGVybmFsL3VidW50dS8KCnJ1bmNtZDoKIC0gZWNobyAnQWNxdWlyZTo6TGFuZ3VhZ2VzICJub25lIjsnID4gL2V0Yy9hcHQvYXB0LmNvbmYuZC85MG5vbGFuZ3VhZ2VzCiAtIGVjaG8gJ2ZvcmNlLXVuc2FmZS1pbycgPiAvZXRjL2Rwa2cvZHBrZy5jZmcuZC9hdXRvcGtndGVzdAogLSBwcmludGYgJ1xuVEVSTT1saW51eFxuJ2h0dHBfcHJveHk9aHR0cDovL3NxdWlkLmludGVybmFsOjMxMjgnXG4naHR0cHNfcHJveHk9aHR0cDovL3NxdWlkLmludGVybmFsOjMxMjgnXG4nbm9fcHJveHk9MTI3LjAuMC4xLDEyNy4wLjEuMSxsb2dpbi51YnVudHUuY29tLGxvY2FsaG9zdCxsb2NhbGRvbWFpbixub3ZhbG9jYWwsaW50ZXJuYWwsYXJjaGl2ZS51YnVudHUuY29tLHBvcnRzLnVidW50dS5jb20sc2VjdXJpdHkudWJ1bnR1LmNvbSxkZGVicy51YnVudHUuY29tLGNoYW5nZWxvZ3MudWJ1bnR1LmNvbSxrZXlzZXJ2ZXIudWJ1bnR1LmNvbSxsYXVuY2hwYWRsaWJyYXJpYW4ubmV0LGxhdW5jaHBhZGNvbnRlbnQubmV0LGxhdW5jaHBhZC5uZXQsMTAuMjQuMC4wLzI0LGtleXN0b25lLnBzNS5jYW5vbmljYWwuY29tLG9iamVjdHN0b3JhZ2UucHJvZHN0YWNrNS5jYW5vbmljYWwuY29tJ1xuJyA+PiAvZXRjL2Vudmlyb25tZW50CiAtIHNlZCAtaSAtciAnL14xMjcuMC4xLjEvIHMvYXV0b3BrZ3Rlc3QtW14gXStcLi9hdXRvcGtndGVzdFwuLycgL2V0Yy9ob3N0cwo=", "key_name": "testbed-juju-7f2275-prod-proposed-migration-environment-15", "min_count": 1, "max_count": 1, "security_groups": [{"name": "autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-ppc64el-22.secgroup"}], "networks": [{"uuid": "3083d638-5564-4f5c-97ef-09f045123d20"}]}}'
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "POST /v2.1/servers HTTP/1.1" 202 479
438s DEBUG (session:548) RESP: [202] Connection: Keep-Alive Content-Length: 479 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:34 GMT Keep-Alive: timeout=75, max=995 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 location: https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 x-compute-request-id: req-6a38cf70-d512-445e-b3d1-3a93213c1f01 x-openstack-request-id: req-6a38cf70-d512-445e-b3d1-3a93213c1f01
438s DEBUG (session:580) RESP BODY: {"server": {"id": "2976f504-c4d7-45f7-93a5-d52837485a01", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}], "OS-DCF:diskConfig": "MANUAL", "security_groups": [{"name": "autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-ppc64el-22.secgroup"}], "adminPass": "AbWu6Y2xK3UX"}}
438s DEBUG (session:936) POST call to compute for https://nova.ps6.canonical.com:8774/v2.1/servers used request id req-6a38cf70-d512-445e-b3d1-3a93213c1f01
438s DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 HTTP/1.1" 200 3208
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 3208 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:35 GMT Keep-Alive: timeout=75, max=994 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-37f60010-59e3-4f60-a10d-c07c02128428 x-openstack-request-id: req-37f60010-59e3-4f60-a10d-c07c02128428
438s DEBUG (session:580) RESP BODY: {"server": {"id": "2976f504-c4d7-45f7-93a5-d52837485a01", "name": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6", "status": "BUILD", "tenant_id": "623df63b80274c21bc79a0c35e68d615", "user_id": "c871debdeffd4cb8b69ce618fc4aa361", "metadata": {}, "hostId": "", "image": {"id": "211c30ab-5e06-4166-a7df-df534accb012", "links": [{"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/images/211c30ab-5e06-4166-a7df-df534accb012"}]}, "flavor": {"vcpus": 4, "ram": 8192, "disk": 100, "ephemeral": 0, "swap": 0, "original_name": "autopkgtest-big-ppc64el", "extra_specs": {"aggregate_instance_extra_specs:commit": "builder-ppc64el", "hw_rng:allowed": "True"}}, "created": "2024-11-08T19:02:35Z", "updated": "2024-11-08T19:02:35Z", "addresses": {}, "accessIPv4": "", "accessIPv6": "", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}], "OS-DCF:diskConfig": "MANUAL", "progress": 0, "OS-EXT-AZ:availability_zone": "", "config_drive": "", "key_name": "testbed-juju-7f2275-prod-proposed-migration-environment-15", "OS-SRV-USG:launched_at": null, "OS-SRV-USG:terminated_at": null, "OS-EXT-SRV-ATTR:host": null, "OS-EXT-SRV-ATTR:instance_name": "", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "OS-EXT-SRV-ATTR:reservation_id": "r-s18s78zm", "OS-EXT-SRV-ATTR:launch_index": 0, "OS-EXT-SRV-ATTR:hostname": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod", "OS-EXT-SRV-ATTR:kernel_id": "", "OS-EXT-SRV-ATTR:ramdisk_id": "", "OS-EXT-SRV-ATTR:root_device_name": null, "OS-EXT-SRV-ATTR:user_data": "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", "OS-EXT-STS:task_state": "scheduling", "OS-EXT-STS:vm_state": "building", "OS-EXT-STS:power_state": 0, "os-extended-volumes:volumes_attached": [], "locked": false, "locked_reason": null, "description": null, "tags": [], "trusted_image_certificates": null, "server_groups": []}}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 used request id req-37f60010-59e3-4f60-a10d-c07c02128428
438s DEBUG (session:517) REQ: curl -g -i -X GET https://glance.ps6.canonical.com:9292/v2/images/211c30ab-5e06-4166-a7df-df534accb012 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://glance.ps6.canonical.com:9292 "GET /v2/images/211c30ab-5e06-4166-a7df-df534accb012 HTTP/1.1" 200 2292
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 2292 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:35 GMT Keep-Alive: timeout=75, max=999 Server: Apache/2.4.52 (Ubuntu) X-Openstack-Request-Id: req-0fd4f588-4812-4299-b350-4de3c87ce75a
438s DEBUG (session:580) RESP BODY: {"architecture": "ppc64le", "base_image_ref": "302dbebd-8fb5-46eb-aa5c-84ec11ab5c95", "boot_roles": "reader,load-balancer_member,member", "content_id": "auto.sync", "hw_cdrom_bus": "scsi", "hw_disk_bus": "virtio", "hw_machine_type": "pseries", "hw_video_model": "vga", "hw_vif_model": "virtio", "image_location": "snapshot", "image_state": "available", "image_type": "snapshot", "instance_uuid": "aa592ad8-322b-4daf-a0b8-7e457020c5f9", "item_name": "disk1.img", "os_distro": "ubuntu", "os_version": "24.10", "owner_id": "623df63b80274c21bc79a0c35e68d615", "owner_project_name": "prod-proposed-migration-ppc64el_project", "owner_user_name": "prod-proposed-migration-ppc64el", "product_name": "com.ubuntu.cloud.daily:server:24.10:ppc64el", "simplestreams_metadata": "{\"aliases\": \"24.10,o,oracular,devel\", \"arch\": \"ppc64el\", \"ftype\": \"disk1.img\", \"label\": \"daily\", \"md5\": \"fd88d9a689ac4d7ab4bea632de90d355\", \"os\": \"ubuntu\", \"pubname\": \"ubuntu-oracular-daily-ppc64el-server-20241009\", \"release\": \"oracular\", \"release_codenam", "source_content_id": "com.ubuntu.cloud:daily:download", "user_id": "c871debdeffd4cb8b69ce618fc4aa361", "version_name": "20241009", "name": "adt/ubuntu-plucky-ppc64el-server-20241108.img", "disk_format": "qcow2", "container_format": "bare", "visibility": "private", "size": 2700607488, "virtual_size": 21474836480, "status": "active", "checksum": "da760bd10ca23c6200d0eeae1a67b5a8", "protected": false, "min_ram": 0, "min_disk": 20, "owner": "623df63b80274c21bc79a0c35e68d615", "os_hidden": false, "os_hash_algo": "sha512", "os_hash_value": "dae18d7cd799254396e7c7341f2eacd6b7d349347c7dc2cd9549589ea957fff65f0bc38c0142102ab35e2cfa3e5d3a9e9f870de682d49f85d8fcaf8eb8ece431", "id": "211c30ab-5e06-4166-a7df-df534accb012", "created_at": "2024-11-08T08:37:58Z", "updated_at": "2024-11-08T08:38:41Z", "locations": [{"url": "rbd://eea9d068-c18c-11ed-8dc0-013aacb71b80/glance/211c30ab-5e06-4166-a7df-df534accb012/snap", "metadata": {"store": "ceph"}}], "direct_url": "rbd://eea9d068-c18c-11ed-8dc0-013aacb71b80/glance/211c30ab-5e06-4166-a7df-df534accb012/snap", "tags": [], "self": "/v2/images/211c30ab-5e06-4166-a7df-df534accb012", "file": "/v2/images/211c30ab-5e06-4166-a7df-df534accb012/file", "schema": "/v2/schemas/image", "stores": "ceph"}
438s DEBUG (session:936) GET call to image for https://glance.ps6.canonical.com:9292/v2/images/211c30ab-5e06-4166-a7df-df534accb012 used request id req-0fd4f588-4812-4299-b350-4de3c87ce75a
438s +--------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------+
438s | Property                             | Value                                                                                                                                  |
438s +--------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------+
438s | OS-DCF:diskConfig                    | MANUAL                                                                                                                                 |
438s | OS-EXT-AZ:availability_zone          |                                                                                                                                        |
438s | OS-EXT-SRV-ATTR:host                 | -                                                                                                                                      |
438s | OS-EXT-SRV-ATTR:hostname             | adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod                                                                        |
438s | OS-EXT-SRV-ATTR:hypervisor_hostname  | -                                                                                                                                      |
438s | OS-EXT-SRV-ATTR:instance_name        |                                                                                                                                        |
438s | OS-EXT-SRV-ATTR:kernel_id            |                                                                                                                                        |
438s | OS-EXT-SRV-ATTR:launch_index         | 0                                                                                                                                      |
438s | OS-EXT-SRV-ATTR:ramdisk_id           |                                                                                                                                        |
438s | OS-EXT-SRV-ATTR:reservation_id       | r-s18s78zm                                                                                                                             |
438s | OS-EXT-SRV-ATTR:root_device_name     | -                                                                                                                                      |
438s | OS-EXT-STS:power_state               | 0                                                                                                                                      |
438s | OS-EXT-STS:task_state                | scheduling                                                                                                                             |
438s | OS-EXT-STS:vm_state                  | building                                                                                                                               |
438s | OS-SRV-USG:launched_at               | -                                                                                                                                      |
438s | OS-SRV-USG:terminated_at             | -                                                                                                                                      |
438s | accessIPv4                           |                                                                                                                                        |
438s | accessIPv6                           |                                                                                                                                        |
438s | adminPass                            | AbWu6Y2xK3UX                                                                                                                           |
438s | config_drive                         |                                                                                                                                        |
438s | created                              | 2024-11-08T19:02:35Z                                                                                                                   |
438s | description                          | -                                                                                                                                      |
438s | flavor:disk                          | 100                                                                                                                                    |
438s | flavor:ephemeral                     | 0                                                                                                                                      |
438s | flavor:extra_specs                   | {"aggregate_instance_extra_specs:commit": "builder-ppc64el", "hw_rng:allowed": "True"}                                                 |
438s | flavor:original_name                 | autopkgtest-big-ppc64el                                                                                                                |
438s | flavor:ram                           | 8192                                                                                                                                   |
438s | flavor:swap                          | 0                                                                                                                                      |
438s | flavor:vcpus                         | 4                                                                                                                                      |
438s | hostId                               |                                                                                                                                        |
438s | id                                   | 2976f504-c4d7-45f7-93a5-d52837485a01                                                                                                   |
438s | image                                | adt/ubuntu-plucky-ppc64el-server-20241108.img (211c30ab-5e06-4166-a7df-df534accb012)                                                   |
438s | key_name                             | testbed-juju-7f2275-prod-proposed-migration-environment-15                                                                             |
438s | locked                               | False                                                                                                                                  |
438s | locked_reason                        | -                                                                                                                                      |
438s | metadata                             | {}                                                                                                                                     |
438s | name                                 | adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6 |
438s | os-extended-volumes:volumes_attached | []                                                                                                                                     |
438s | progress                             | 0                                                                                                                                      |
438s | security_groups                      | autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-ppc64el-22.secgroup                                               |
438s | server_groups                        | []                                                                                                                                     |
438s | status                               | BUILD                                                                                                                                  |
438s | tags                                 | []                                                                                                                                     |
438s | tenant_id                            | 623df63b80274c21bc79a0c35e68d615                                                                                                       |
438s | trusted_image_certificates           | -                                                                                                                                      |
438s | updated                              | 2024-11-08T19:02:35Z                                                                                                                   |
438s | user_id                              | c871debdeffd4cb8b69ce618fc4aa361                                                                                                       |
438s +--------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------+DEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 HTTP/1.1" 200 3208
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 3208 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:35 GMT Keep-Alive: timeout=75, max=993 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-2e27b67e-655d-4914-9f68-d8fbe839567a x-openstack-request-id: req-2e27b67e-655d-4914-9f68-d8fbe839567a
438s DEBUG (session:580) RESP BODY: {"server": {"id": "2976f504-c4d7-45f7-93a5-d52837485a01", "name": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6", "status": "BUILD", "tenant_id": "623df63b80274c21bc79a0c35e68d615", "user_id": "c871debdeffd4cb8b69ce618fc4aa361", "metadata": {}, "hostId": "", "image": {"id": "211c30ab-5e06-4166-a7df-df534accb012", "links": [{"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/images/211c30ab-5e06-4166-a7df-df534accb012"}]}, "flavor": {"vcpus": 4, "ram": 8192, "disk": 100, "ephemeral": 0, "swap": 0, "original_name": "autopkgtest-big-ppc64el", "extra_specs": {"aggregate_instance_extra_specs:commit": "builder-ppc64el", "hw_rng:allowed": "True"}}, "created": "2024-11-08T19:02:35Z", "updated": "2024-11-08T19:02:35Z", "addresses": {}, "accessIPv4": "", "accessIPv6": "", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}], "OS-DCF:diskConfig": "MANUAL", "progress": 0, "OS-EXT-AZ:availability_zone": "", "config_drive": "", "key_name": "testbed-juju-7f2275-prod-proposed-migration-environment-15", "OS-SRV-USG:launched_at": null, "OS-SRV-USG:terminated_at": null, "OS-EXT-SRV-ATTR:host": null, "OS-EXT-SRV-ATTR:instance_name": "", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "OS-EXT-SRV-ATTR:reservation_id": "r-s18s78zm", "OS-EXT-SRV-ATTR:launch_index": 0, "OS-EXT-SRV-ATTR:hostname": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod", "OS-EXT-SRV-ATTR:kernel_id": "", "OS-EXT-SRV-ATTR:ramdisk_id": "", "OS-EXT-SRV-ATTR:root_device_name": null, "OS-EXT-SRV-ATTR:user_data": "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", "OS-EXT-STS:task_state": "scheduling", "OS-EXT-STS:vm_state": "building", "OS-EXT-STS:power_state": 0, "os-extended-volumes:volumes_attached": [], "locked": false, "locked_reason": null, "description": null, "tags": [], "trusted_image_certificates": null, "server_groups": []}}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 used request id req-2e27b67e-655d-4914-9f68-d8fbe839567a
438s 
438s 
438s 
Server building... 0% completeDEBUG (session:517) REQ: curl -g -i -X GET https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 -H "Accept: application/json" -H "OpenStack-API-Version: compute 2.87" -H "User-Agent: python-novaclient" -H "X-Auth-Token: {SHA256}a81d8b6b3ad22554eaf9908f3ddcd90c1f3ed650660b1aea817cbf03bdf4b8df" -H "X-OpenStack-Nova-API-Version: 2.87"
438s DEBUG (connectionpool:429) https://nova.ps6.canonical.com:8774 "GET /v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 HTTP/1.1" 200 3335
438s DEBUG (session:548) RESP: [200] Connection: Keep-Alive Content-Length: 3335 Content-Type: application/json Date: Fri, 08 Nov 2024 19:02:40 GMT Keep-Alive: timeout=75, max=992 OpenStack-API-Version: compute 2.87 Server: Apache/2.4.52 (Ubuntu) Vary: OpenStack-API-Version,X-OpenStack-Nova-API-Version X-OpenStack-Nova-API-Version: 2.87 x-compute-request-id: req-cdf0a0f5-e91e-4276-aa54-8066368f8cfd x-openstack-request-id: req-cdf0a0f5-e91e-4276-aa54-8066368f8cfd
438s DEBUG (session:580) RESP BODY: {"server": {"id": "2976f504-c4d7-45f7-93a5-d52837485a01", "name": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6", "status": "ERROR", "tenant_id": "623df63b80274c21bc79a0c35e68d615", "user_id": "c871debdeffd4cb8b69ce618fc4aa361", "metadata": {}, "hostId": "", "image": {"id": "211c30ab-5e06-4166-a7df-df534accb012", "links": [{"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/images/211c30ab-5e06-4166-a7df-df534accb012"}]}, "flavor": {"vcpus": 4, "ram": 8192, "disk": 100, "ephemeral": 0, "swap": 0, "original_name": "autopkgtest-big-ppc64el", "extra_specs": {"aggregate_instance_extra_specs:commit": "builder-ppc64el", "hw_rng:allowed": "True"}}, "created": "2024-11-08T19:02:34Z", "updated": "2024-11-08T19:02:35Z", "addresses": {}, "accessIPv4": "", "accessIPv6": "", "links": [{"rel": "self", "href": "https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}, {"rel": "bookmark", "href": "https://nova.ps6.canonical.com:8774/servers/2976f504-c4d7-45f7-93a5-d52837485a01"}], "OS-DCF:diskConfig": "MANUAL", "fault": {"code": 500, "created": "2024-11-08T19:02:35Z", "message": "No valid host was found. There are not enough hosts available."}, "OS-EXT-AZ:availability_zone": "", "config_drive": "", "key_name": "testbed-juju-7f2275-prod-proposed-migration-environment-15", "OS-SRV-USG:launched_at": null, "OS-SRV-USG:terminated_at": null, "OS-EXT-SRV-ATTR:host": null, "OS-EXT-SRV-ATTR:instance_name": "instance-00053262", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "OS-EXT-SRV-ATTR:reservation_id": "r-s18s78zm", "OS-EXT-SRV-ATTR:launch_index": 0, "OS-EXT-SRV-ATTR:hostname": "adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod", "OS-EXT-SRV-ATTR:kernel_id": "", "OS-EXT-SRV-ATTR:ramdisk_id": "", "OS-EXT-SRV-ATTR:root_device_name": null, "OS-EXT-SRV-ATTR:user_data": "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", "OS-EXT-STS:task_state": null, "OS-EXT-STS:vm_state": "error", "OS-EXT-STS:power_state": 0, "os-extended-volumes:volumes_attached": [], "locked": false, "locked_reason": null, "description": null, "tags": [], "trusted_image_certificates": null, "server_groups": []}}
438s DEBUG (session:936) GET call to compute for https://nova.ps6.canonical.com:8774/v2.1/servers/2976f504-c4d7-45f7-93a5-d52837485a01 used request id req-cdf0a0f5-e91e-4276-aa54-8066368f8cfd
438s DEBUG (shell:822) <Server: adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6>
438s Traceback (most recent call last):
438s   File "/usr/lib/python3/dist-packages/novaclient/shell.py", line 820, in main
438s     OpenStackComputeShell().main(argv)
438s   File "/usr/lib/python3/dist-packages/novaclient/shell.py", line 742, in main
438s     args.func(self.cs, args)
438s   File "/usr/lib/python3/dist-packages/novaclient/v2/shell.py", line 980, in do_boot
438s     _poll_for_status(cs.servers.get, server.id, 'building', ['active'])
438s   File "/usr/lib/python3/dist-packages/novaclient/v2/shell.py", line 1019, in _poll_for_status
438s     raise exceptions.ResourceInErrorState(obj)
438s novaclient.exceptions.ResourceInErrorState: <Server: adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6>
438s ERROR (ResourceInErrorState): <Server: adt-plucky-ppc64el-statsmodels-20241108-190123-juju-7f2275-prod-proposed-migration-environment-15-a5d0641d-e2d8-4952-a81a-5b09dbf640d6>
438s 
438s Error building server
442s autopkgtest [19:08:46]: testbed dpkg architecture: ppc64el
442s autopkgtest [19:08:46]: testbed apt version: 2.9.8
442s autopkgtest [19:08:46]: @@@@@@@@@@@@@@@@@@@@ test bed setup
443s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [73.9 kB]
444s Get:2 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [142 kB]
444s Get:3 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [21.9 kB]
444s Get:4 http://ftpmaster.internal/ubuntu plucky-proposed/restricted Sources [7016 B]
444s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [1122 kB]
444s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/main ppc64el Packages [194 kB]
444s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/universe ppc64el Packages [875 kB]
444s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse ppc64el Packages [30.8 kB]
445s Fetched 2467 kB in 1s (2083 kB/s)
445s Reading package lists...
447s Reading package lists...
448s Building dependency tree...
448s Reading state information...
448s Calculating upgrade...
449s The following packages will be upgraded:
449s   libblockdev-crypto3 libblockdev-fs3 libblockdev-loop3 libblockdev-mdraid3
449s   libblockdev-nvme3 libblockdev-part3 libblockdev-swap3 libblockdev-utils3
449s   libblockdev3 python3-urllib3 tzdata
449s 11 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
449s Need to get 576 kB of archives.
449s After this operation, 4096 B disk space will be freed.
449s Get:1 http://ftpmaster.internal/ubuntu plucky/main ppc64el tzdata all 2024b-1ubuntu2 [274 kB]
449s Get:2 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-utils3 ppc64el 3.2.1-1 [20.6 kB]
449s Get:3 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-crypto3 ppc64el 3.2.1-1 [24.8 kB]
449s Get:4 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-fs3 ppc64el 3.2.1-1 [40.6 kB]
449s Get:5 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-loop3 ppc64el 3.2.1-1 [7704 B]
449s Get:6 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-mdraid3 ppc64el 3.2.1-1 [14.2 kB]
449s Get:7 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-nvme3 ppc64el 3.2.1-1 [20.2 kB]
449s Get:8 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-part3 ppc64el 3.2.1-1 [17.5 kB]
449s Get:9 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev-swap3 ppc64el 3.2.1-1 [8538 B]
449s Get:10 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblockdev3 ppc64el 3.2.1-1 [54.1 kB]
449s Get:11 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-urllib3 all 2.0.7-2ubuntu0.1 [93.1 kB]
450s Preconfiguring packages ...
450s Fetched 576 kB in 1s (1050 kB/s)
450s (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 ... 73539 files and directories currently installed.)
450s Preparing to unpack .../00-tzdata_2024b-1ubuntu2_all.deb ...
450s Unpacking tzdata (2024b-1ubuntu2) over (2024a-4ubuntu1) ...
451s Preparing to unpack .../01-libblockdev-utils3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-utils3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../02-libblockdev-crypto3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-crypto3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../03-libblockdev-fs3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-fs3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../04-libblockdev-loop3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-loop3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../05-libblockdev-mdraid3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-mdraid3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../06-libblockdev-nvme3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-nvme3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../07-libblockdev-part3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-part3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../08-libblockdev-swap3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev-swap3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../09-libblockdev3_3.2.1-1_ppc64el.deb ...
451s Unpacking libblockdev3:ppc64el (3.2.1-1) over (3.2.0-2) ...
451s Preparing to unpack .../10-python3-urllib3_2.0.7-2ubuntu0.1_all.deb ...
451s Unpacking python3-urllib3 (2.0.7-2ubuntu0.1) over (2.0.7-2) ...
451s Setting up tzdata (2024b-1ubuntu2) ...
451s 
451s Current default time zone: 'Etc/UTC'
451s Local time is now:      Fri Nov  8 19:08:55 UTC 2024.
451s Universal Time is now:  Fri Nov  8 19:08:55 UTC 2024.
451s Run 'dpkg-reconfigure tzdata' if you wish to change it.
451s 
451s Setting up libblockdev-utils3:ppc64el (3.2.1-1) ...
451s Setting up python3-urllib3 (2.0.7-2ubuntu0.1) ...
452s Setting up libblockdev-nvme3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-fs3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-mdraid3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-crypto3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-swap3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-loop3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev3:ppc64el (3.2.1-1) ...
452s Setting up libblockdev-part3:ppc64el (3.2.1-1) ...
452s Processing triggers for libc-bin (2.40-1ubuntu3) ...
452s Reading package lists...
452s Building dependency tree...
452s Reading state information...
453s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
453s Hit:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease
453s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease
453s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease
453s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease
455s Reading package lists...
455s Reading package lists...
455s Building dependency tree...
455s Reading state information...
456s Calculating upgrade...
456s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
456s Reading package lists...
456s Building dependency tree...
456s Reading state information...
457s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
460s autopkgtest [19:09:04]: testbed running kernel: Linux 6.11.0-8-generic #8-Ubuntu SMP Mon Sep 16 13:49:23 UTC 2024
460s autopkgtest [19:09:04]: @@@@@@@@@@@@@@@@@@@@ apt-source statsmodels
464s Get:1 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.2+dfsg-1 (dsc) [3703 B]
464s Get:2 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.2+dfsg-1 (tar) [12.1 MB]
464s Get:3 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.2+dfsg-1 (diff) [35.6 kB]
464s gpgv: Signature made Sun May  5 16:16:49 2024 UTC
464s gpgv:                using RSA key 67CB311005C4EDBE32175308DEE50D0D567EA266
464s gpgv:                issuer "rebecca_palmer@zoho.com"
464s gpgv: Can't check signature: No public key
464s dpkg-source: warning: cannot verify inline signature for ./statsmodels_0.14.2+dfsg-1.dsc: no acceptable signature found
466s autopkgtest [19:09:10]: testing package statsmodels version 0.14.2+dfsg-1
467s autopkgtest [19:09:11]: build not needed
478s autopkgtest [19:09:22]: test upstreamtests: preparing testbed
483s Reading package lists...
483s Building dependency tree...
483s Reading state information...
483s Starting pkgProblemResolver with broken count: 0
483s Starting 2 pkgProblemResolver with broken count: 0
483s Done
484s The following additional packages will be installed:
484s   blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libamd3
484s   libblas3 libcamd3 libccolamd3 libcholmod5 libcolamd3 libdeflate0
484s   libdsdp-5.8t64 libfftw3-double3 libfontconfig1 libgfortran5 libglpk40
484s   libgomp1 libgraphite2-3 libgsl28 libgslcblas0 libharfbuzz0b libimagequant0
484s   libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3
484s   liblbfgsb0 liblcms2-2 liblerc4 libltdl7 libopenjp2-7 libqhull-r8.0 libraqm0
484s   libsharpyuv0 libsuitesparseconfig7 libtcl8.6 libtiff6 libtk8.6 libumfpack6
484s   libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1
484s   python-matplotlib-data python3-all python3-appdirs python3-brotli
484s   python3-colorama python3-contourpy python3-cvxopt python3-cycler
484s   python3-dateutil python3-decorator python3-fonttools python3-fs
484s   python3-iniconfig python3-joblib python3-kiwisolver python3-lxml python3-lz4
484s   python3-matplotlib python3-mpmath python3-numpy python3-packaging
484s   python3-pandas python3-pandas-lib python3-patsy python3-pil
484s   python3-pil.imagetk python3-pluggy python3-pytest python3-scipy python3-six
484s   python3-statsmodels python3-statsmodels-lib python3-sympy python3-tk
484s   python3-tz python3-ufolib2 python3.12-tk tk8.6-blt2.5 unicode-data
484s   x11-common
484s Suggested packages:
484s   blt-demo libfftw3-bin libfftw3-dev libiodbc2-dev default-libmysqlclient-dev
484s   gsl-ref-psdoc | gsl-doc-pdf | gsl-doc-info | gsl-ref-html
484s   libjs-jquery-ui-docs liblcms2-utils tcl8.6 tk8.6 python-cvxopt-doc
484s   python-cycler-doc python-lxml-doc cm-super-minimal dvipng ffmpeg
484s   fonts-staypuft ghostscript gir1.2-gtk-3.0 inkscape ipython3 librsvg2-common
484s   python-matplotlib-doc python3-cairocffi python3-gi-cairo python3-gobject
484s   python3-pyqt5 python3-sip python3-tornado texlive-extra-utils
484s   texlive-latex-extra python-mpmath-doc python3-gmpy2 gcc gfortran
484s   python-numpy-doc python3-dev python-pandas-doc python-patsy-doc
484s   python-pil-doc python-scipy-doc python-statsmodels-doc texlive-fonts-extra
484s   python-sympy-doc tix python3-tk-dbg python3.13-tk
484s Recommended packages:
484s   javascript-common python3-simplejson python3-psutil python3-bs4
484s   python3-cssselect python3-html5lib python3-bottleneck python3-numexpr
484s   python3-odf python3-openpyxl python3-tables python3-olefile g++
484s   | c++-compiler isympy-common
484s The following NEW packages will be installed:
484s   autopkgtest-satdep blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono
484s   fonts-lyx libamd3 libblas3 libcamd3 libccolamd3 libcholmod5 libcolamd3
484s   libdeflate0 libdsdp-5.8t64 libfftw3-double3 libfontconfig1 libgfortran5
484s   libglpk40 libgomp1 libgraphite2-3 libgsl28 libgslcblas0 libharfbuzz0b
484s   libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui
484s   liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libltdl7 libopenjp2-7
484s   libqhull-r8.0 libraqm0 libsharpyuv0 libsuitesparseconfig7 libtcl8.6 libtiff6
484s   libtk8.6 libumfpack6 libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1
484s   libxslt1.1 libxss1 python-matplotlib-data python3-all python3-appdirs
484s   python3-brotli python3-colorama python3-contourpy python3-cvxopt
484s   python3-cycler python3-dateutil python3-decorator python3-fonttools
484s   python3-fs python3-iniconfig python3-joblib python3-kiwisolver python3-lxml
484s   python3-lz4 python3-matplotlib python3-mpmath python3-numpy
484s   python3-packaging python3-pandas python3-pandas-lib python3-patsy
484s   python3-pil python3-pil.imagetk python3-pluggy python3-pytest python3-scipy
484s   python3-six python3-statsmodels python3-statsmodels-lib python3-sympy
484s   python3-tk python3-tz python3-ufolib2 python3.12-tk tk8.6-blt2.5
484s   unicode-data x11-common
484s 0 upgraded, 90 newly installed, 0 to remove and 0 not upgraded.
484s Need to get 79.8 MB/79.8 MB of archives.
484s After this operation, 365 MB of additional disk space will be used.
484s Get:1 /tmp/autopkgtest.9okOhL/1-autopkgtest-satdep.deb autopkgtest-satdep ppc64el 0 [772 B]
484s Get:2 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtcl8.6 ppc64el 8.6.14+dfsg-1build1 [1204 kB]
485s Get:3 http://ftpmaster.internal/ubuntu plucky/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB]
485s Get:4 http://ftpmaster.internal/ubuntu plucky/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB]
485s Get:5 http://ftpmaster.internal/ubuntu plucky/main ppc64el fontconfig-config ppc64el 2.15.0-1.1ubuntu2 [37.4 kB]
485s Get:6 http://ftpmaster.internal/ubuntu plucky/main ppc64el libfontconfig1 ppc64el 2.15.0-1.1ubuntu2 [190 kB]
485s Get:7 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1build1 [23.1 kB]
485s Get:8 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB]
485s Get:9 http://ftpmaster.internal/ubuntu plucky/main ppc64el x11-common all 1:7.7+23ubuntu3 [21.7 kB]
485s Get:10 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B]
485s Get:11 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtk8.6 ppc64el 8.6.14-1build1 [944 kB]
485s Get:12 http://ftpmaster.internal/ubuntu plucky/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-7build1 [784 kB]
485s Get:13 http://ftpmaster.internal/ubuntu plucky/main ppc64el blt ppc64el 2.5.3+dfsg-7build1 [4840 B]
485s Get:14 http://ftpmaster.internal/ubuntu plucky/universe ppc64el fonts-lyx all 2.4.2.1-1 [171 kB]
485s Get:15 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgomp1 ppc64el 14.2.0-7ubuntu1 [161 kB]
485s Get:16 http://ftpmaster.internal/ubuntu plucky/main ppc64el libsuitesparseconfig7 ppc64el 1:7.8.0+dfsg-1 [12.9 kB]
485s Get:17 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libamd3 ppc64el 1:7.8.0+dfsg-1 [37.4 kB]
485s Get:18 http://ftpmaster.internal/ubuntu plucky/main ppc64el libblas3 ppc64el 3.12.0-3build2 [222 kB]
485s Get:19 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libcamd3 ppc64el 1:7.8.0+dfsg-1 [30.8 kB]
485s Get:20 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libccolamd3 ppc64el 1:7.8.0+dfsg-1 [31.5 kB]
485s Get:21 http://ftpmaster.internal/ubuntu plucky/main ppc64el libcolamd3 ppc64el 1:7.8.0+dfsg-1 [21.5 kB]
485s Get:22 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgfortran5 ppc64el 14.2.0-7ubuntu1 [571 kB]
485s Get:23 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblapack3 ppc64el 3.12.0-3build2 [2806 kB]
486s Get:24 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libcholmod5 ppc64el 1:7.8.0+dfsg-1 [905 kB]
486s Get:25 http://ftpmaster.internal/ubuntu plucky/main ppc64el libdeflate0 ppc64el 1.21-1 [63.3 kB]
486s Get:26 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libdsdp-5.8t64 ppc64el 5.8-10.1build1 [224 kB]
486s Get:27 http://ftpmaster.internal/ubuntu plucky/main ppc64el libfftw3-double3 ppc64el 3.3.10-1ubuntu4 [443 kB]
486s Get:28 http://ftpmaster.internal/ubuntu plucky/main ppc64el libltdl7 ppc64el 2.4.7-7build1 [48.2 kB]
486s Get:29 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libglpk40 ppc64el 5.0-1build2 [467 kB]
486s Get:30 http://ftpmaster.internal/ubuntu plucky/main ppc64el libgraphite2-3 ppc64el 1.3.14-2ubuntu1 [84.6 kB]
486s Get:31 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libgslcblas0 ppc64el 2.8+dfsg-3ubuntu3 [93.1 kB]
486s Get:32 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libgsl28 ppc64el 2.8+dfsg-3ubuntu3 [1131 kB]
486s Get:33 http://ftpmaster.internal/ubuntu plucky/main ppc64el libharfbuzz0b ppc64el 9.0.0-1 [595 kB]
486s Get:34 http://ftpmaster.internal/ubuntu plucky/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB]
486s Get:35 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-2ubuntu2 [219 kB]
486s Get:36 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B]
486s Get:37 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB]
486s Get:38 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB]
486s Get:39 http://ftpmaster.internal/ubuntu plucky/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB]
486s Get:40 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblcms2-2 ppc64el 2.14-2build1 [233 kB]
486s Get:41 http://ftpmaster.internal/ubuntu plucky/main ppc64el liblerc4 ppc64el 4.0.0+ds-4ubuntu2 [270 kB]
486s Get:42 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB]
486s Get:43 http://ftpmaster.internal/ubuntu plucky/main ppc64el libraqm0 ppc64el 0.10.1-1build1 [19.4 kB]
486s Get:44 http://ftpmaster.internal/ubuntu plucky/main ppc64el libsharpyuv0 ppc64el 1.4.0-0.1 [22.0 kB]
486s Get:45 http://ftpmaster.internal/ubuntu plucky/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu2 [35.9 kB]
486s Get:46 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebp7 ppc64el 1.4.0-0.1 [309 kB]
486s Get:47 http://ftpmaster.internal/ubuntu plucky/main ppc64el libtiff6 ppc64el 4.5.1+git230720-4ubuntu4 [272 kB]
486s Get:48 http://ftpmaster.internal/ubuntu plucky/universe ppc64el libumfpack6 ppc64el 1:7.8.0+dfsg-1 [329 kB]
486s Get:49 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebpdemux2 ppc64el 1.4.0-0.1 [14.1 kB]
486s Get:50 http://ftpmaster.internal/ubuntu plucky/main ppc64el libwebpmux3 ppc64el 1.4.0-0.1 [31.4 kB]
486s Get:51 http://ftpmaster.internal/ubuntu plucky/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1ubuntu1 [191 kB]
486s Get:52 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python-matplotlib-data all 3.8.3-3 [2928 kB]
487s Get:53 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-all ppc64el 3.12.6-0ubuntu1 [888 B]
487s Get:54 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-appdirs all 1.4.4-4 [10.9 kB]
487s Get:55 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-brotli ppc64el 1.1.0-2build2 [413 kB]
487s Get:56 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-colorama all 0.4.6-4 [32.1 kB]
487s Get:57 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-numpy ppc64el 1:1.26.4+ds-11build1 [4434 kB]
487s Get:58 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-contourpy ppc64el 1.3.0-2 [217 kB]
487s Get:59 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-cvxopt ppc64el 1.3.0+dfsg-1build7 [305 kB]
487s Get:60 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-cycler all 0.12.1-1 [9716 B]
487s Get:61 http://ftpmaster.internal/ubuntu plucky-proposed/main ppc64el python3-dateutil all 2.9.0-3 [80.2 kB]
487s Get:62 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB]
487s Get:63 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-scipy ppc64el 1.13.1-3 [18.3 MB]
488s Get:64 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-ufolib2 all 0.16.0+dfsg1-1 [33.5 kB]
488s Get:65 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB]
488s Get:66 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-sympy all 1.13.1-1 [4228 kB]
488s Get:67 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-tz all 2024.1-2 [31.4 kB]
488s Get:68 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-six all 1.16.0-7 [13.1 kB]
488s Get:69 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-fs all 2.4.16-4 [91.3 kB]
488s Get:70 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-lxml ppc64el 5.3.0-1 [1354 kB]
488s Get:71 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-lz4 ppc64el 4.0.2+dfsg-1build4 [27.8 kB]
488s Get:72 http://ftpmaster.internal/ubuntu plucky/universe ppc64el unicode-data all 15.1.0-1 [8878 kB]
488s Get:73 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-fonttools ppc64el 4.46.0-1build2 [1473 kB]
488s Get:74 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-iniconfig all 1.1.1-2 [6024 B]
488s Get:75 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-joblib all 1.3.2-2 [208 kB]
488s Get:76 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-kiwisolver ppc64el 1.4.7-2 [59.2 kB]
488s Get:77 http://ftpmaster.internal/ubuntu plucky/main ppc64el libopenjp2-7 ppc64el 2.5.0-2ubuntu1 [246 kB]
488s Get:78 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-pil ppc64el 10.4.0-1ubuntu1 [581 kB]
488s Get:79 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3.12-tk ppc64el 3.12.7-1 [116 kB]
488s Get:80 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-tk ppc64el 3.12.6-1ubuntu1 [9806 B]
488s Get:81 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pil.imagetk ppc64el 10.4.0-1ubuntu1 [9810 B]
488s Get:82 http://ftpmaster.internal/ubuntu plucky/main ppc64el python3-packaging all 24.1-1 [41.4 kB]
488s Get:83 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-matplotlib ppc64el 3.8.3-3 [4610 kB]
489s Get:84 http://ftpmaster.internal/ubuntu plucky-proposed/universe ppc64el python3-pandas-lib ppc64el 2.2.3+dfsg-5 [4761 kB]
489s Get:85 http://ftpmaster.internal/ubuntu plucky-proposed/universe ppc64el python3-pandas all 2.2.3+dfsg-5 [3112 kB]
489s Get:86 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-patsy all 0.5.6-1 [181 kB]
489s Get:87 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pluggy all 1.5.0-1 [21.0 kB]
489s Get:88 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-pytest all 8.3.2-1 [251 kB]
489s Get:89 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-statsmodels-lib ppc64el 0.14.2+dfsg-1 [1701 kB]
489s Get:90 http://ftpmaster.internal/ubuntu plucky/universe ppc64el python3-statsmodels all 0.14.2+dfsg-1 [5014 kB]
490s Fetched 79.8 MB in 5s (15.5 MB/s)
490s Selecting previously unselected package libtcl8.6:ppc64el.
490s (Reading database ... 
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(Reading database ... 73538 files and directories currently installed.)
490s Preparing to unpack .../00-libtcl8.6_8.6.14+dfsg-1build1_ppc64el.deb ...
490s Unpacking libtcl8.6:ppc64el (8.6.14+dfsg-1build1) ...
490s Selecting previously unselected package fonts-dejavu-mono.
490s Preparing to unpack .../01-fonts-dejavu-mono_2.37-8_all.deb ...
490s Unpacking fonts-dejavu-mono (2.37-8) ...
490s Selecting previously unselected package fonts-dejavu-core.
490s Preparing to unpack .../02-fonts-dejavu-core_2.37-8_all.deb ...
490s Unpacking fonts-dejavu-core (2.37-8) ...
490s Selecting previously unselected package fontconfig-config.
490s Preparing to unpack .../03-fontconfig-config_2.15.0-1.1ubuntu2_ppc64el.deb ...
491s Unpacking fontconfig-config (2.15.0-1.1ubuntu2) ...
491s Selecting previously unselected package libfontconfig1:ppc64el.
491s Preparing to unpack .../04-libfontconfig1_2.15.0-1.1ubuntu2_ppc64el.deb ...
491s Unpacking libfontconfig1:ppc64el (2.15.0-1.1ubuntu2) ...
491s Selecting previously unselected package libxrender1:ppc64el.
491s Preparing to unpack .../05-libxrender1_1%3a0.9.10-1.1build1_ppc64el.deb ...
491s Unpacking libxrender1:ppc64el (1:0.9.10-1.1build1) ...
491s Selecting previously unselected package libxft2:ppc64el.
491s Preparing to unpack .../06-libxft2_2.3.6-1build1_ppc64el.deb ...
491s Unpacking libxft2:ppc64el (2.3.6-1build1) ...
491s Selecting previously unselected package x11-common.
491s Preparing to unpack .../07-x11-common_1%3a7.7+23ubuntu3_all.deb ...
491s Unpacking x11-common (1:7.7+23ubuntu3) ...
491s Selecting previously unselected package libxss1:ppc64el.
491s Preparing to unpack .../08-libxss1_1%3a1.2.3-1build3_ppc64el.deb ...
491s Unpacking libxss1:ppc64el (1:1.2.3-1build3) ...
491s Selecting previously unselected package libtk8.6:ppc64el.
491s Preparing to unpack .../09-libtk8.6_8.6.14-1build1_ppc64el.deb ...
491s Unpacking libtk8.6:ppc64el (8.6.14-1build1) ...
491s Selecting previously unselected package tk8.6-blt2.5.
491s Preparing to unpack .../10-tk8.6-blt2.5_2.5.3+dfsg-7build1_ppc64el.deb ...
491s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-7build1) ...
491s Selecting previously unselected package blt.
491s Preparing to unpack .../11-blt_2.5.3+dfsg-7build1_ppc64el.deb ...
491s Unpacking blt (2.5.3+dfsg-7build1) ...
491s Selecting previously unselected package fonts-lyx.
491s Preparing to unpack .../12-fonts-lyx_2.4.2.1-1_all.deb ...
491s Unpacking fonts-lyx (2.4.2.1-1) ...
491s Selecting previously unselected package libgomp1:ppc64el.
491s Preparing to unpack .../13-libgomp1_14.2.0-7ubuntu1_ppc64el.deb ...
491s Unpacking libgomp1:ppc64el (14.2.0-7ubuntu1) ...
491s Selecting previously unselected package libsuitesparseconfig7:ppc64el.
491s Preparing to unpack .../14-libsuitesparseconfig7_1%3a7.8.0+dfsg-1_ppc64el.deb ...
491s Unpacking libsuitesparseconfig7:ppc64el (1:7.8.0+dfsg-1) ...
491s Selecting previously unselected package libamd3:ppc64el.
491s Preparing to unpack .../15-libamd3_1%3a7.8.0+dfsg-1_ppc64el.deb ...
491s Unpacking libamd3:ppc64el (1:7.8.0+dfsg-1) ...
491s Selecting previously unselected package libblas3:ppc64el.
491s Preparing to unpack .../16-libblas3_3.12.0-3build2_ppc64el.deb ...
491s Unpacking libblas3:ppc64el (3.12.0-3build2) ...
491s Selecting previously unselected package libcamd3:ppc64el.
491s Preparing to unpack .../17-libcamd3_1%3a7.8.0+dfsg-1_ppc64el.deb ...
491s Unpacking libcamd3:ppc64el (1:7.8.0+dfsg-1) ...
491s Selecting previously unselected package libccolamd3:ppc64el.
491s Preparing to unpack .../18-libccolamd3_1%3a7.8.0+dfsg-1_ppc64el.deb ...
491s Unpacking libccolamd3:ppc64el (1:7.8.0+dfsg-1) ...
491s Selecting previously unselected package libcolamd3:ppc64el.
491s Preparing to unpack .../19-libcolamd3_1%3a7.8.0+dfsg-1_ppc64el.deb ...
491s Unpacking libcolamd3:ppc64el (1:7.8.0+dfsg-1) ...
491s Selecting previously unselected package libgfortran5:ppc64el.
491s Preparing to unpack .../20-libgfortran5_14.2.0-7ubuntu1_ppc64el.deb ...
491s Unpacking libgfortran5:ppc64el (14.2.0-7ubuntu1) ...
491s Selecting previously unselected package liblapack3:ppc64el.
491s Preparing to unpack .../21-liblapack3_3.12.0-3build2_ppc64el.deb ...
491s Unpacking liblapack3:ppc64el (3.12.0-3build2) ...
492s Selecting previously unselected package libcholmod5:ppc64el.
492s Preparing to unpack .../22-libcholmod5_1%3a7.8.0+dfsg-1_ppc64el.deb ...
492s Unpacking libcholmod5:ppc64el (1:7.8.0+dfsg-1) ...
492s Selecting previously unselected package libdeflate0:ppc64el.
492s Preparing to unpack .../23-libdeflate0_1.21-1_ppc64el.deb ...
492s Unpacking libdeflate0:ppc64el (1.21-1) ...
492s Selecting previously unselected package libdsdp-5.8t64.
492s Preparing to unpack .../24-libdsdp-5.8t64_5.8-10.1build1_ppc64el.deb ...
492s Unpacking libdsdp-5.8t64 (5.8-10.1build1) ...
492s Selecting previously unselected package libfftw3-double3:ppc64el.
492s Preparing to unpack .../25-libfftw3-double3_3.3.10-1ubuntu4_ppc64el.deb ...
492s Unpacking libfftw3-double3:ppc64el (3.3.10-1ubuntu4) ...
492s Selecting previously unselected package libltdl7:ppc64el.
492s Preparing to unpack .../26-libltdl7_2.4.7-7build1_ppc64el.deb ...
492s Unpacking libltdl7:ppc64el (2.4.7-7build1) ...
492s Selecting previously unselected package libglpk40:ppc64el.
492s Preparing to unpack .../27-libglpk40_5.0-1build2_ppc64el.deb ...
492s Unpacking libglpk40:ppc64el (5.0-1build2) ...
492s Selecting previously unselected package libgraphite2-3:ppc64el.
492s Preparing to unpack .../28-libgraphite2-3_1.3.14-2ubuntu1_ppc64el.deb ...
492s Unpacking libgraphite2-3:ppc64el (1.3.14-2ubuntu1) ...
492s Selecting previously unselected package libgslcblas0:ppc64el.
492s Preparing to unpack .../29-libgslcblas0_2.8+dfsg-3ubuntu3_ppc64el.deb ...
492s Unpacking libgslcblas0:ppc64el (2.8+dfsg-3ubuntu3) ...
492s Selecting previously unselected package libgsl28:ppc64el.
492s Preparing to unpack .../30-libgsl28_2.8+dfsg-3ubuntu3_ppc64el.deb ...
492s Unpacking libgsl28:ppc64el (2.8+dfsg-3ubuntu3) ...
492s Selecting previously unselected package libharfbuzz0b:ppc64el.
492s Preparing to unpack .../31-libharfbuzz0b_9.0.0-1_ppc64el.deb ...
492s Unpacking libharfbuzz0b:ppc64el (9.0.0-1) ...
492s Selecting previously unselected package libimagequant0:ppc64el.
492s Preparing to unpack .../32-libimagequant0_2.18.0-1build1_ppc64el.deb ...
492s Unpacking libimagequant0:ppc64el (2.18.0-1build1) ...
492s Selecting previously unselected package libjpeg-turbo8:ppc64el.
492s Preparing to unpack .../33-libjpeg-turbo8_2.1.5-2ubuntu2_ppc64el.deb ...
492s Unpacking libjpeg-turbo8:ppc64el (2.1.5-2ubuntu2) ...
492s Selecting previously unselected package libjpeg8:ppc64el.
492s Preparing to unpack .../34-libjpeg8_8c-2ubuntu11_ppc64el.deb ...
492s Unpacking libjpeg8:ppc64el (8c-2ubuntu11) ...
492s Selecting previously unselected package libjs-jquery.
492s Preparing to unpack .../35-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ...
492s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
492s Selecting previously unselected package libjs-jquery-ui.
492s Preparing to unpack .../36-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ...
492s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ...
492s Selecting previously unselected package liblbfgsb0:ppc64el.
492s Preparing to unpack .../37-liblbfgsb0_3.0+dfsg.4-1build1_ppc64el.deb ...
492s Unpacking liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ...
492s Selecting previously unselected package liblcms2-2:ppc64el.
492s Preparing to unpack .../38-liblcms2-2_2.14-2build1_ppc64el.deb ...
492s Unpacking liblcms2-2:ppc64el (2.14-2build1) ...
492s Selecting previously unselected package liblerc4:ppc64el.
492s Preparing to unpack .../39-liblerc4_4.0.0+ds-4ubuntu2_ppc64el.deb ...
492s Unpacking liblerc4:ppc64el (4.0.0+ds-4ubuntu2) ...
492s Selecting previously unselected package libqhull-r8.0:ppc64el.
492s Preparing to unpack .../40-libqhull-r8.0_2020.2-6build1_ppc64el.deb ...
492s Unpacking libqhull-r8.0:ppc64el (2020.2-6build1) ...
492s Selecting previously unselected package libraqm0:ppc64el.
492s Preparing to unpack .../41-libraqm0_0.10.1-1build1_ppc64el.deb ...
492s Unpacking libraqm0:ppc64el (0.10.1-1build1) ...
492s Selecting previously unselected package libsharpyuv0:ppc64el.
492s Preparing to unpack .../42-libsharpyuv0_1.4.0-0.1_ppc64el.deb ...
492s Unpacking libsharpyuv0:ppc64el (1.4.0-0.1) ...
492s Selecting previously unselected package libjbig0:ppc64el.
492s Preparing to unpack .../43-libjbig0_2.1-6.1ubuntu2_ppc64el.deb ...
492s Unpacking libjbig0:ppc64el (2.1-6.1ubuntu2) ...
492s Selecting previously unselected package libwebp7:ppc64el.
493s Preparing to unpack .../44-libwebp7_1.4.0-0.1_ppc64el.deb ...
493s Unpacking libwebp7:ppc64el (1.4.0-0.1) ...
493s Selecting previously unselected package libtiff6:ppc64el.
493s Preparing to unpack .../45-libtiff6_4.5.1+git230720-4ubuntu4_ppc64el.deb ...
493s Unpacking libtiff6:ppc64el (4.5.1+git230720-4ubuntu4) ...
493s Selecting previously unselected package libumfpack6:ppc64el.
493s Preparing to unpack .../46-libumfpack6_1%3a7.8.0+dfsg-1_ppc64el.deb ...
493s Unpacking libumfpack6:ppc64el (1:7.8.0+dfsg-1) ...
493s Selecting previously unselected package libwebpdemux2:ppc64el.
493s Preparing to unpack .../47-libwebpdemux2_1.4.0-0.1_ppc64el.deb ...
493s Unpacking libwebpdemux2:ppc64el (1.4.0-0.1) ...
493s Selecting previously unselected package libwebpmux3:ppc64el.
493s Preparing to unpack .../48-libwebpmux3_1.4.0-0.1_ppc64el.deb ...
493s Unpacking libwebpmux3:ppc64el (1.4.0-0.1) ...
493s Selecting previously unselected package libxslt1.1:ppc64el.
493s Preparing to unpack .../49-libxslt1.1_1.1.39-0exp1ubuntu1_ppc64el.deb ...
493s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1ubuntu1) ...
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497s Selecting previously unselected package python3-statsmodels-lib:ppc64el.
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497s Setting up libgraphite2-3:ppc64el (1.3.14-2ubuntu1) ...
497s Setting up liblcms2-2:ppc64el (2.14-2build1) ...
497s Setting up python3-iniconfig (1.1.1-2) ...
497s Setting up libsharpyuv0:ppc64el (1.4.0-0.1) ...
497s Setting up liblerc4:ppc64el (4.0.0+ds-4ubuntu2) ...
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497s Setting up libgslcblas0:ppc64el (2.8+dfsg-3ubuntu3) ...
497s Setting up python3-joblib (1.3.2-2) ...
498s Setting up python3-colorama (0.4.6-4) ...
498s Setting up python3-lz4 (4.0.2+dfsg-1build4) ...
498s Setting up fonts-lyx (2.4.2.1-1) ...
498s Setting up x11-common (1:7.7+23ubuntu3) ...
499s Setting up libdeflate0:ppc64el (1.21-1) ...
499s Setting up libqhull-r8.0:ppc64el (2020.2-6build1) ...
499s Setting up python3-all (3.12.6-0ubuntu1) ...
499s Setting up libgomp1:ppc64el (14.2.0-7ubuntu1) ...
499s Setting up libjbig0:ppc64el (2.1-6.1ubuntu2) ...
499s Setting up python3-tz (2024.1-2) ...
499s Setting up unicode-data (15.1.0-1) ...
499s Setting up python3-six (1.16.0-7) ...
499s Setting up python3-decorator (5.1.1-5) ...
499s Setting up libblas3:ppc64el (3.12.0-3build2) ...
499s 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
499s Setting up python3-packaging (24.1-1) ...
499s Setting up python3-brotli (1.1.0-2build2) ...
500s Setting up python3-cycler (0.12.1-1) ...
500s Setting up libimagequant0:ppc64el (2.18.0-1build1) ...
500s Setting up fonts-dejavu-mono (2.37-8) ...
500s Setting up python3-kiwisolver (1.4.7-2) ...
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500s Setting up python3-pluggy (1.5.0-1) ...
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500s Setting up libxslt1.1:ppc64el (1.1.39-0exp1ubuntu1) ...
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500s Setting up libopenjp2-7:ppc64el (2.5.0-2ubuntu1) ...
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501s Setting up python-matplotlib-data (3.8.3-3) ...
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501s Setting up python3-appdirs (1.4.4-4) ...
502s Setting up libjpeg8:ppc64el (8c-2ubuntu11) ...
502s Setting up python3-sympy (1.13.1-1) ...
511s Setting up liblapack3:ppc64el (3.12.0-3build2) ...
511s update-alternatives: using /usr/lib/powerpc64le-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/powerpc64le-linux-gnu/liblapack.so.3 (liblapack.so.3-powerpc64le-linux-gnu) in auto mode
511s Setting up libamd3:ppc64el (1:7.8.0+dfsg-1) ...
511s Setting up libcolamd3:ppc64el (1:7.8.0+dfsg-1) ...
511s Setting up fontconfig-config (2.15.0-1.1ubuntu2) ...
511s Setting up python3-pytest (8.3.2-1) ...
512s Setting up libwebpdemux2:ppc64el (1.4.0-0.1) ...
512s Setting up libcamd3:ppc64el (1:7.8.0+dfsg-1) ...
512s Setting up python3-fs (2.4.16-4) ...
512s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ...
512s Setting up libglpk40:ppc64el (5.0-1build2) ...
512s Setting up libraqm0:ppc64el (0.10.1-1build1) ...
512s Setting up python3-numpy (1:1.26.4+ds-11build1) ...
515s Setting up libccolamd3:ppc64el (1:7.8.0+dfsg-1) ...
515s Setting up python3-lxml:ppc64el (5.3.0-1) ...
516s Setting up libtiff6:ppc64el (4.5.1+git230720-4ubuntu4) ...
516s Setting up libdsdp-5.8t64 (5.8-10.1build1) ...
516s Setting up python3-contourpy (1.3.0-2) ...
516s Setting up libfontconfig1:ppc64el (2.15.0-1.1ubuntu2) ...
516s Setting up python3-statsmodels-lib:ppc64el (0.14.2+dfsg-1) ...
516s Setting up liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ...
516s Setting up libcholmod5:ppc64el (1:7.8.0+dfsg-1) ...
516s Setting up libxft2:ppc64el (2.3.6-1build1) ...
516s Setting up python3-scipy (1.13.1-3) ...
521s Setting up libtk8.6:ppc64el (8.6.14-1build1) ...
521s Setting up python3-pandas-lib:ppc64el (2.2.3+dfsg-5) ...
521s Setting up python3.12-tk (3.12.7-1) ...
521s Setting up python3-patsy (0.5.6-1) ...
522s Setting up python3-pil:ppc64el (10.4.0-1ubuntu1) ...
523s Setting up python3-pandas (2.2.3+dfsg-5) ...
530s Setting up libumfpack6:ppc64el (1:7.8.0+dfsg-1) ...
530s Setting up python3-statsmodels (0.14.2+dfsg-1) ...
534s Setting up tk8.6-blt2.5 (2.5.3+dfsg-7build1) ...
534s Setting up python3-cvxopt (1.3.0+dfsg-1build7) ...
534s Setting up blt (2.5.3+dfsg-7build1) ...
534s Setting up python3-tk:ppc64el (3.12.6-1ubuntu1) ...
534s Setting up python3-pil.imagetk:ppc64el (10.4.0-1ubuntu1) ...
534s Setting up python3-fonttools (4.46.0-1build2) ...
536s Setting up python3-ufolib2 (0.16.0+dfsg1-1) ...
536s Setting up python3-matplotlib (3.8.3-3) ...
539s Setting up autopkgtest-satdep (0) ...
539s Processing triggers for libc-bin (2.40-1ubuntu3) ...
539s Processing triggers for man-db (2.12.1-3) ...
547s (Reading database ... 84311 files and directories currently installed.)
547s Removing autopkgtest-satdep (0) ...
548s autopkgtest [19:10:32]: test upstreamtests: [-----------------------
550s ============================= test session starts ==============================
550s platform linux -- Python 3.12.7, pytest-8.3.2, pluggy-1.5.0 -- /usr/bin/python3.12
550s cachedir: .pytest_cache
550s rootdir: /usr/lib/python3/dist-packages/statsmodels
550s configfile: setup.cfg
550s plugins: typeguard-4.4.1
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639s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_mean PASSED [  3%]
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639s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_prob PASSED [  3%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_options PASSED [  3%]
639s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized_invalid_method SKIPPED [  3%]
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653s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bic PASSED [  3%]
654s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized PASSED [  3%]
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657s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [  3%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [  3%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [  3%]
657s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [  3%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [  3%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [  3%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [  3%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [  3%]
661s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [  3%]
662s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [  3%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [  4%]
663s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [  4%]
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664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [  4%]
664s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [  4%]
665s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [  4%]
673s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [  4%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [  5%]
674s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [  5%]
675s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [  5%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [  6%]
676s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [  6%]
677s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [  6%]
678s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [  6%]
679s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [  6%]
680s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [  6%]
681s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [  6%]
682s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [  6%]
683s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [  6%]
684s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [  6%]
685s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [  6%]
686s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [  6%]
687s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [  6%]
688s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [  6%]
688s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [  6%]
688s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [  6%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [  6%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [  6%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [  6%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [  6%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [  7%]
689s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [  7%]
690s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [  7%]
690s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [  7%]
690s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [  7%]
690s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [  7%]
690s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [  7%]
691s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [  7%]
692s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [  7%]
693s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [  7%]
693s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [  7%]
694s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [  7%]
694s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [  7%]
695s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [  7%]
696s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [  7%]
697s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [  7%]
698s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_distr PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [  7%]
699s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_start_null PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_start_null PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_null_options PASSED [  7%]
700s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_optim_kwds_prelim PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mlogit_t_test PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict_linear PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test_alpha PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_basic PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict PASSED [  7%]
701s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_diagnostic PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_basic PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_predict PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_diagnostic PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_predict_linear PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test_alpha PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case0] PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case1] PASSED [  7%]
707s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case2] PASSED [  7%]
710s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case3] PASSED [  7%]
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776s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_edf PASSED [ 10%]
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776s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_predict PASSED [ 10%]
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787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_select_alpha PASSED [ 10%]
787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_params PASSED [ 10%]
787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_fitted PASSED [ 10%]
787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_null_smoke PASSED [ 10%]
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787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_smooth PASSED [ 10%]
787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_predict PASSED [ 10%]
787s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_wald PASSED [ 10%]
797s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_select_alpha PASSED [ 10%]
797s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_names_wrapper PASSED [ 10%]
797s ../../../usr/lib/python3/dist-packages/statsmodels/gam/tests/test_smooth_basis.py::test_univariate_polynomial_smoother PASSED [ 10%]
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797s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Tweedie-links6] PASSED [ 10%]
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798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_invlogit_stability PASSED [ 10%]
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798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-__call__] PASSED [ 10%]
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798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-__call__] PASSED [ 10%]
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798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv] PASSED [ 10%]
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798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-__call__] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-__call__] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv2] PASSED [ 10%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_map PASSED [ 11%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_map PASSED [ 11%]
798s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_map PASSED [ 11%]
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799s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_vb PASSED [ 11%]
799s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_vb PASSED [ 11%]
800s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb PASSED [ 11%]
800s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb_formula PASSED [ 11%]
800s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_poisson_vb PASSED [ 11%]
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801s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_map PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_doc_examples PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_glm_attr PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_wald PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_params PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_se PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_resid PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_glm_attr PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_wald PASSED [ 11%]
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803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_logistic PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_plot PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 11%]
803s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 11%]
804s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_default_time PASSED [ 11%]
804s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_logistic PASSED [ 11%]
804s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_autoregressive PASSED [ 11%]
804s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_post_estimation PASSED [ 11%]
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805s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Independence] PASSED [ 11%]
805s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Exchangeable] PASSED [ 11%]
805s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test_warnings PASSED [ 11%]
805s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_constraint_covtype PASSED [ 11%]
806s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear PASSED [ 11%]
806s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear_constrained PASSED [ 11%]
806s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_linear PASSED [ 11%]
806s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_pandas PASSED [ 11%]
810s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal PASSED [ 11%]
811s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_formula PASSED [ 11%]
811s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_independence PASSED [ 11%]
811s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_independence PASSED [ 11%]
817s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_plot PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_groups PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_OLS PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_formulas PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_logit PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_poisson PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict PASSED [ 11%]
820s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure_lists PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 11%]
821s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 11%]
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828s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 11%]
832s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 11%]
835s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_cov_type PASSED [ 11%]
837s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_wrapper PASSED [ 11%]
837s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 11%]
840s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_regularized_gaussian PASSED [ 11%]
840s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 11%]
840s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Poisson] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_qic_warnings PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 11%]
841s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 11%]
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842s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_unstructured_complete PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_unstructured_incomplete PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ar_covsolve PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_ex_covsolve PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_gee.py::test_stationary_covsolve PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_prsquared PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 11%]
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843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_deviance PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_null_deviance PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_degrees PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_fittedvalues PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_pearson_chi2 PASSED [ 11%]
843s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_prsquared PASSED [ 11%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_get_distribution PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_residuals PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 11%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_prsquared PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_get_distribution PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_bic PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_fittedvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_tpvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_pearson_chi2 PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_get_distribution PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_R PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_Stata PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_scale PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_loglike PASSED [ 12%]
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844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_bic PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_degrees PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_fittedvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_tpvalues PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_pearson_chi2 PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_prsquared PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary2 PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_endog_dtype PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog_formula PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution_binom_count PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_compare_discrete PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_test PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_get_prediction PASSED [ 12%]
844s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_params PASSED [ 12%]
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846s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 13%]
846s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 13%]
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847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 13%]
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847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 13%]
847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 13%]
847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 13%]
847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 13%]
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847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 13%]
847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 13%]
847s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 13%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_params PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_aic PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_deviance PASSED [ 13%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_bic PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_tpvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_init_kwargs PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_standard_errors PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_null_deviance PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_null_deviance PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_null_deviance PASSED [ 14%]
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848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_fittedvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_tpvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_wtd_patsy_missing PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_bse PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_params PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_deviance PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_df PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_fittedvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_summary PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_resid PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_bse PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_params PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_deviance PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_df PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_fittedvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_summary PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_resid PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_bse PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_params PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_deviance PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_df PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_fittedvalues PASSED [ 14%]
848s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_summary PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_resid PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_bse PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_params PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_deviance PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_df PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_fittedvalues PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_summary PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_mu PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_resid PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_mu PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_resid PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_mu PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_resid PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_mu PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_resid PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_elastic_net PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_poisson_limit PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_upper_limit PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::testTweediePowerEstimate PASSED [ 14%]
849s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_lasso_6431 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only_params PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only_params PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol_params PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_scale PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int8] PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int16] PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int32] PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_int_exog[int64] PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_bic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_glm_bic_warning PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_output_exposure_null PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_qaic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm.py::test_tweedie_score PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_getprediction PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 14%]
850s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_getprediction PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_getprediction PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_getprediction PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_getprediction PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_getprediction PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 14%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
851s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_getprediction PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
852s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_getprediction PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_getprediction PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_getprediction PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_getprediction PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 15%]
853s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 15%]
854s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 15%]
855s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 15%]
855s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 15%]
856s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 15%]
857s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 15%]
857s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 15%]
859s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 15%]
860s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 15%]
861s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 15%]
861s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 15%]
861s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 15%]
861s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 15%]
862s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 15%]
862s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 15%]
863s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 15%]
864s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%]
866s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%]
867s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%]
868s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%]
868s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%]
869s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%]
873s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute SKIPPED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_plot SKIPPED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha SKIPPED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha SKIPPED [ 15%]
874s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold SKIPPED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp SKIPPED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%]
875s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%]
876s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%]
877s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%]
878s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%]
878s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%]
878s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%]
879s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%]
879s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%]
879s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%]
880s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%]
880s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%]
880s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%]
880s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%]
880s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%]
881s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%]
882s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%]
883s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%]
884s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 15%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 16%]
885s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 16%]
886s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 16%]
886s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 16%]
886s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt_lineoptions PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt_lineoptions PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_weibull PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_lininterp PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_piecewise PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_approx_med_unbiased PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_cunnane PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_param_unpacking PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels1] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels0] PASSED [ 16%]
887s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels1] PASSED [ 16%]
888s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels0] PASSED [ 16%]
888s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels1] PASSED [ 16%]
888s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_axis_order PASSED [ 16%]
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889s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_fit PASSED [ 16%]
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891s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_fit PASSED [ 16%]
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894s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_ols PASSED [ 16%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_plot_month XFAIL [ 16%]
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897s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_plot PASSED [ 16%]
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898s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args1] PASSED [ 16%]
898s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] PASSED [ 16%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] PASSED [ 16%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args0] PASSED [ 16%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args1] PASSED [ 16%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_small_sample PASSED [ 16%]
899s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_bayes_mi.py::test_pat PASSED [ 16%]
900s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_bayes_mi.py::test_2x2 PASSED [ 16%]
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902s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_bayes_mi.py::test_MI_stat PASSED [ 16%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_bayes_mi.py::test_mi_formula PASSED [ 16%]
902s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_default PASSED [ 16%]
903s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_settingwithcopywarning PASSED [ 16%]
903s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_next_sample PASSED [ 17%]
903s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_pertmeth PASSED [ 17%]
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904s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_set_imputer PASSED [ 17%]
904s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_missing_pattern PASSED [ 17%]
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905s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_fit_obs PASSED [ 17%]
905s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_imputed_hist PASSED [ 17%]
907s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE PASSED [ 17%]
909s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1 PASSED [ 17%]
909s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1_regularized PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE2 PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_mice.py::test_micedata_miss1 PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_baseline PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_censored_greater_than_max PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_baseline PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_no_NDs PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_empty PASSED [ 17%]
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910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_out_of_bounds PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::test__ros_group_rank PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_1 PASSED [ 17%]
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910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::test_plotting_positions PASSED [ 17%]
910s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::test__impute PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::test__do_ros PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_df PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_arrays PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_cohn PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_pickle.py::test_pickle PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_pickle.py::test_pickle_supports_open PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary.py::test_escaped_variable_name PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary.py::test_wrong_len_xname PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary.py::TestSummaryLatex::test__repr_latex_ PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_float_format PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_drop_omitted PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summary_col_ordering_preserved PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test__repr_latex_ PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_OLSsummary PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::test_ols_summary_rsquared_label PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_summary_col_r2 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_absence_of_r2 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_summary_old.py::test_regression_summary XFAIL [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_1 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_2 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_3 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_4 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_special_chars PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_regression_with_tuples PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_default_alignment PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test__repr_latex PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table_econpy.py::TestCell::test_celldata PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_txt_fmt1 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_ltx_fmt1 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_html_fmt1 PASSED [ 17%]
911s ../../../usr/lib/python3/dist-packages/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_customlabel PASSED [ 17%]
912s ../../../usr/lib/python3/dist-packages/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_summary PASSED [ 17%]
912s ../../../usr/lib/python3/dist-packages/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_use_t_summary PASSED [ 17%]
912s ../../../usr/lib/python3/dist-packages/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_ttest PASSED [ 17%]
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928s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%]
929s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%]
930s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS SKIPPED [ 18%]
931s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom SKIPPED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%]
932s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS SKIPPED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS SKIPPED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata SKIPPED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf SKIPPED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient SKIPPED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 18%]
933s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 18%]
934s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls SKIPPED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient SKIPPED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls SKIPPED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic SKIPPED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous SKIPPED [ 18%]
936s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete SKIPPED [ 18%]
937s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data SKIPPED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data SKIPPED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 18%]
938s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data SKIPPED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data SKIPPED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data SKIPPED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data SKIPPED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[False] PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[True] PASSED [ 18%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_spike PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_lowess.py::test_xvals_dtype PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_coefficients PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_precision PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_coefficients PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_precision PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_precision_formula PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_scores PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_results_other PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_basic PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_resid PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_oim PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_predict_distribution PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_score_test PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_influence PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_cov.py::test_HC_use PASSED [ 19%]
939s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_dimred.py::test_poisson PASSED [ 19%]
940s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_numdiff PASSED [ 19%]
941s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_1d PASSED [ 19%]
943s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_2d PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_dimred.py::test_covreduce PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_gretl.py::test_GLSARlag PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_params_table PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_predicted PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_rho PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_arima PASSED [ 19%]
944s ../../../usr/lib/python3/dist-packages/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_iter0 PASSED [ 19%]
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1073s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%]
1073s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%]
1073s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%]
1073s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 26%]
1074s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 26%]
1075s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 26%]
1075s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 26%]
1075s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 26%]
1076s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 26%]
1076s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 26%]
1077s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 26%]
1077s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 26%]
1085s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 26%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%]
1086s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%]
1087s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%]
1088s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%]
1089s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%]
1090s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%]
1091s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch SKIPPED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 27%]
1092s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values SKIPPED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 27%]
1093s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 27%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 28%]
1094s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 28%]
1096s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 28%]
1098s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 28%]
1100s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 28%]
1100s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] SKIPPED [ 28%]
1100s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] SKIPPED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_method PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_ttest PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_diff PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_deltacov.py::test_deltacov_margeff PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 28%]
1104s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_description_exceptions PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_description_basic PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_large_ntop PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_use_t PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 28%]
1105s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 28%]
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1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%]
1125s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 30%]
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1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 30%]
1126s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 30%]
1127s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 30%]
1128s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 30%]
1129s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 30%]
1130s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 30%]
1130s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.01] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.01] PASSED [ 30%]
1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.05] PASSED [ 30%]
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1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.01] PASSED [ 30%]
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1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.01] PASSED [ 30%]
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1131s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.05] PASSED [ 30%]
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1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.05] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.1] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.01] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.05] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.1] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.01] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.05] PASSED [ 30%]
1133s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.1] PASSED [ 30%]
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1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case5] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case6] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case7] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 33%]
1181s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 33%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 33%]
1184s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count0] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count1] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count2] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count3] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count4] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count5] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count6] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count7] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count8] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count9] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count10] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count11] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count12] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count13] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count14] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count15] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count0] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count1] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count2] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count3] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count4] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count5] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count6] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count7] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count8] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count9] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count10] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count11] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count12] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count13] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count14] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count15] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count0] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count1] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count2] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count3] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count4] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count5] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count6] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count7] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count8] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count9] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count10] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count11] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count12] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count13] PASSED [ 33%]
1186s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count14] PASSED [ 33%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count15] PASSED [ 33%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count0] PASSED [ 33%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count1] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count2] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count3] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count4] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count5] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count6] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count7] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count8] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count9] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count10] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count11] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count12] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count13] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count14] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count15] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count0] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count1] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count2] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count3] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count4] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count5] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count6] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count7] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count8] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count9] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count10] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count11] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count12] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count13] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count14] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count15] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count0] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count1] PASSED [ 34%]
1187s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count2] PASSED [ 34%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count3] PASSED [ 34%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count4] PASSED [ 34%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count5] PASSED [ 34%]
1188s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count6] PASSED [ 34%]
1189s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count7] PASSED [ 34%]
1189s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count8] PASSED [ 34%]
1189s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count9] PASSED [ 34%]
1190s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count10] PASSED [ 34%]
1190s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count11] PASSED [ 34%]
1190s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count12] PASSED [ 34%]
1190s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count13] PASSED [ 34%]
1190s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count1] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count2] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count3] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count4] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count5] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count6] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count7] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count8] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count9] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count10] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count11] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count12] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count13] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count1] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count2] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count3] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count4] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count5] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count6] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count7] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count8] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count9] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count10] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count11] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count12] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count13] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count1] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count2] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count3] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count4] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count5] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count6] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count7] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count8] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count9] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count10] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count11] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count12] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count13] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count1] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count2] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count3] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count4] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count5] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count6] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count7] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count8] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count9] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count10] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count11] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count12] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count13] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count1] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count2] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count3] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count4] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count5] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count6] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count7] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count8] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count9] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count10] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count11] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count12] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count13] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count14] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count15] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count0] PASSED [ 34%]
1191s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count1] PASSED [ 34%]
1192s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count2] PASSED [ 34%]
1192s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count3] PASSED [ 34%]
1192s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count4] PASSED [ 34%]
1193s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count5] PASSED [ 34%]
1193s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count6] PASSED [ 34%]
1193s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count7] PASSED [ 34%]
1194s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count8] PASSED [ 34%]
1194s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count9] PASSED [ 34%]
1194s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count10] PASSED [ 34%]
1194s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count11] PASSED [ 34%]
1195s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count12] PASSED [ 34%]
1195s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count13] PASSED [ 34%]
1195s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count14] PASSED [ 34%]
1196s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count15] PASSED [ 34%]
1196s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 34%]
1196s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 34%]
1196s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 34%]
1196s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 34%]
1197s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 34%]
1197s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 34%]
1197s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 34%]
1197s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 34%]
1198s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 34%]
1198s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 34%]
1198s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 34%]
1198s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 34%]
1199s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 34%]
1199s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 34%]
1199s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 34%]
1200s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 34%]
1200s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 34%]
1200s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 34%]
1201s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 34%]
1201s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 34%]
1201s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 34%]
1202s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 34%]
1202s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 34%]
1202s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 34%]
1203s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 34%]
1203s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 34%]
1203s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 34%]
1204s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 34%]
1204s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 34%]
1204s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 34%]
1205s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 34%]
1205s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 34%]
1205s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 34%]
1205s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 34%]
1206s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 34%]
1206s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 34%]
1206s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 34%]
1207s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 35%]
1207s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 35%]
1207s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 35%]
1208s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 35%]
1208s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 35%]
1208s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 35%]
1209s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 35%]
1209s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 35%]
1209s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 35%]
1209s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 35%]
1209s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 35%]
1210s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 35%]
1210s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 35%]
1210s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 35%]
1211s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 35%]
1211s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 35%]
1212s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 35%]
1212s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 35%]
1212s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 35%]
1212s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 35%]
1213s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 35%]
1213s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 35%]
1213s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 35%]
1214s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 35%]
1214s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 35%]
1214s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 35%]
1214s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 35%]
1215s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 35%]
1215s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 35%]
1215s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 35%]
1216s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 35%]
1217s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 35%]
1217s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 35%]
1217s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 35%]
1218s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 35%]
1218s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 35%]
1218s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 35%]
1218s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 35%]
1219s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 35%]
1219s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 35%]
1219s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 35%]
1220s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 35%]
1220s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 35%]
1220s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 35%]
1220s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 35%]
1221s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 35%]
1221s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 35%]
1221s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 35%]
1221s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 35%]
1222s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 35%]
1222s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 35%]
1222s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 35%]
1222s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 35%]
1223s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 35%]
1223s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 35%]
1223s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 35%]
1223s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 35%]
1224s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 35%]
1224s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 35%]
1225s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 35%]
1225s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 35%]
1226s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 35%]
1226s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 35%]
1227s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 35%]
1228s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 35%]
1229s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 35%]
1230s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 35%]
1230s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 35%]
1230s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 35%]
1231s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 35%]
1232s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 35%]
1233s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 35%]
1233s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 35%]
1234s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 35%]
1235s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 35%]
1237s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 35%]
1237s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 35%]
1238s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 35%]
1239s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 35%]
1240s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 35%]
1241s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 35%]
1242s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 35%]
1243s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 35%]
1244s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 35%]
1245s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 35%]
1246s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 35%]
1247s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 35%]
1248s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 35%]
1249s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 35%]
1250s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 35%]
1251s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 35%]
1252s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 35%]
1253s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 35%]
1254s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 35%]
1256s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 35%]
1257s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 35%]
1257s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 35%]
1258s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 35%]
1260s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 35%]
1261s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 35%]
1262s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 35%]
1264s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 35%]
1265s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 35%]
1265s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 35%]
1266s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 35%]
1267s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 35%]
1267s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 35%]
1268s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 35%]
1270s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 35%]
1270s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 35%]
1272s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 35%]
1273s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 35%]
1274s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 35%]
1275s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 35%]
1276s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 35%]
1276s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 35%]
1277s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 35%]
1278s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 35%]
1279s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 35%]
1280s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 35%]
1280s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 35%]
1283s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 35%]
1283s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 35%]
1283s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 35%]
1283s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 35%]
1285s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 35%]
1286s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 35%]
1287s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 35%]
1288s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 35%]
1289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 35%]
1289s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 35%]
1290s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 35%]
1291s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 35%]
1293s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 35%]
1293s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 35%]
1294s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 35%]
1295s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 35%]
1296s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 35%]
1297s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 35%]
1298s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 35%]
1299s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 35%]
1300s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 35%]
1301s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 35%]
1302s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 35%]
1303s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 35%]
1303s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 35%]
1305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 35%]
1305s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 35%]
1306s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 35%]
1307s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 35%]
1307s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 35%]
1308s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 35%]
1309s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 35%]
1309s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 35%]
1310s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 35%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 36%]
1311s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 36%]
1312s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 36%]
1312s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 36%]
1313s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 36%]
1314s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 36%]
1314s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 36%]
1315s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 36%]
1315s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 36%]
1316s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 36%]
1317s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 36%]
1318s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 36%]
1318s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 36%]
1319s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 36%]
1319s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 36%]
1320s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 36%]
1320s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count14] PASSED [ 36%]
1321s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count15] PASSED [ 36%]
1321s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.01] PASSED [ 36%]
1321s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.05] PASSED [ 36%]
1321s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.01] PASSED [ 36%]
1321s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.05] PASSED [ 36%]
1322s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.01] PASSED [ 36%]
1322s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.05] PASSED [ 36%]
1322s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.01] PASSED [ 36%]
1322s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.05] PASSED [ 36%]
1322s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.01] PASSED [ 36%]
1323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.05] PASSED [ 36%]
1323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.01] PASSED [ 36%]
1323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.05] PASSED [ 36%]
1323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.01] PASSED [ 36%]
1323s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.05] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.01] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.05] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.01] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.05] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[wald] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[score] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[exact-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[waldccv] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-a] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-v] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[midp-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_r PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case0] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case1] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case2] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case3] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case4] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[wald] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[score] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[exact-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[midp-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[waldccv] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-a] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-v] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[wald] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[score] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[exact-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[midp-c] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[jeff] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[waldccv] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-a] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-v] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-cent] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-centcc] PASSED [ 36%]
1324s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[wald] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[score] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[waldccv] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[wald-log] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[score-log] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[wald] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[score] PASSED [ 36%]
1325s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest] PASSED [ 36%]
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1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface_1d PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest_2sample PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_basic PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_basic PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest_2sample PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_basic PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest_2sample PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_confint_mean PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 37%]
1326s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_weightstats.py::test_weightstats_len_1 PASSED [ 37%]
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1328s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tests/test_x13.py::test_make_var_names PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_data.py::test_patsy_577 PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_cache_readonly PASSED [ 37%]
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1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-UserWarning] PASSED [ 37%]
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1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 37%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_1d PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_2d PASSED [ 38%]
1336s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_hess PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 38%]
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1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 38%]
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1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 38%]
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1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 38%]
1339s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 38%]
1340s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 38%]
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1454s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params2-spec_ar_lags2-spec_ma_lags2-expected_bunch2] PASSED [ 47%]
1454s ../../../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%]
1454s ../../../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%]
1454s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags2-free_lags2-fixed_params2-free_params2-spec_lags2-expected_all_params2] PASSED [ 47%]
1454s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags3-free_lags3-fixed_params3-free_params3-spec_lags3-expected_all_params3] PASSED [ 47%]
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1454s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags7-free_lags7-fixed_params7-free_params7-spec_lags7-expected_all_params7] PASSED [ 47%]
1454s ../../../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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1454s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524_variance XFAIL [ 47%]
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1456s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid_xfail XFAIL [ 48%]
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1468s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1469s ../../../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%]
1470s ../../../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%]
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1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
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1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
1470s ../../../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%]
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1471s ../../../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%]
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1471s ../../../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%]
1471s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-4] PASSED [ 49%]
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1473s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-4] PASSED [ 50%]
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1480s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-12] PASSED [ 50%]
1480s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-None] PASSED [ 50%]
1481s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-4] PASSED [ 50%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1481s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1482s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1483s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
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1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1484s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1485s ../../../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%]
1486s ../../../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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1486s ../../../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%]
1486s ../../../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%]
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1486s ../../../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%]
1486s ../../../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%]
1486s ../../../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%]
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1487s ../../../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%]
1487s ../../../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%]
1487s ../../../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%]
1487s ../../../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%]
1487s ../../../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%]
1487s ../../../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%]
1487s ../../../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%]
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1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-12] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-None] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-4] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-12] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-None] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-4] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-12] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-None] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-4] PASSED [ 52%]
1500s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-12] PASSED [ 52%]
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1511s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-12] PASSED [ 53%]
1511s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 53%]
1511s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 53%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1511s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1512s ../../../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%]
1513s ../../../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%]
1513s ../../../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%]
1513s ../../../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%]
1513s ../../../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%]
1513s ../../../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%]
1513s ../../../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%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[datetime] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[period] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[range] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[nofreq] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_no_freq PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: True] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: False] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: True] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: False] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: True] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: False] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_pi_width PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-4] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-12] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-4] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-12] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-4] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-4] PASSED [ 53%]
1513s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_auto PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 53%]
1514s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_fit PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 53%]
1515s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_add_mul PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal0] PASSED [ 53%]
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1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[add] PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[mul] PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[add] PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[mul] PASSED [ 53%]
1516s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_2d_data PASSED [ 53%]
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1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1610s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 59%]
1611s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 59%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1612s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 61%]
1613s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_initial_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 61%]
1614s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 61%]
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1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-8] PASSED [ 72%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j0] PASSED [ 72%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j1] PASSED [ 72%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j2] PASSED [ 72%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-8] PASSED [ 72%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_weights.py::test_resmooth PASSED [ 72%]
1736s ../../../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%]
1736s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_seasonal_is_datafame_when_input_pandas_and_multiple_periods PASSED [ 72%]
1737s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-3-None-1] PASSED [ 72%]
1737s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods1-None-2] PASSED [ 72%]
1737s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] PASSED [ 72%]
1737s ../../../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%]
1737s ../../../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%]
1737s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-0.1] PASSED [ 72%]
1737s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-1] PASSED [ 72%]
1738s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data--3.0] PASSED [ 72%]
1738s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-auto] PASSED [ 72%]
1739s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_auto_fit_with_box_cox PASSED [ 72%]
1739s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_stl_kwargs_smoke PASSED [ 72%]
1740s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_plot PASSED [ 72%]
1741s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_mstl.py::test_output_similar_to_R_implementation PASSED [ 72%]
1746s ../../../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%]
1746s ../../../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%]
1751s ../../../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%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_baseline_class PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_short_class PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_class PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_ntjump_1_class PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_ntjump_1_class PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_period PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_seasonal PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_trend PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_low_pass PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_jump_errors PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[True] PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[True] PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[False] PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[False] PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_period_detection PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_no_period PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_plot PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_default_trend PASSED [ 72%]
1751s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_pickle PASSED [ 72%]
1752s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/stl/tests/test_stl.py::test_squezable_to_1d PASSED [ 72%]
1752s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 72%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1752s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1753s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1754s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1755s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1756s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1757s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1758s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1759s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1760s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1761s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1762s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1763s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1764s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1765s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1766s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1767s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1768s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1769s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1770s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1771s ../../../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%]
1772s ../../../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%]
1772s ../../../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%]
1772s ../../../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%]
1772s ../../../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%]
1772s ../../../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%]
1773s ../../../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%]
1773s ../../../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%]
1773s ../../../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%]
1773s ../../../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%]
1774s ../../../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%]
1774s ../../../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%]
1774s ../../../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%]
1774s ../../../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%]
1774s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1775s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1776s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1777s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1778s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1779s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1780s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1781s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1782s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1783s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1784s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1785s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1786s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1787s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1788s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1789s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1790s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1791s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1792s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1793s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1794s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1795s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1796s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1797s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1798s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1799s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1800s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1801s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1802s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1803s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1804s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1805s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1806s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1807s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1808s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1809s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../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%]
1810s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 94%]
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1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_multiple_simulations PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_whiteness_nlag PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_maxlag PASSED [ 99%]
1891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_from_formula PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_correct_nobs PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_err_bands SKIPPED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%]
1892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%]
1893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%]
1894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%]
1894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%]
1895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%]
1895s 
1895s =============================== warnings summary ===============================
1895s base/tests/test_penalized.py: 2 warnings
1895s base/tests/test_shrink_pickle.py: 3 warnings
1895s discrete/tests/test_count_model.py: 1 warning
1895s discrete/tests/test_discrete.py: 10 warnings
1895s genmod/tests/test_glm.py: 1 warning
1895s tsa/forecasting/tests/test_stl.py: 1 warning
1895s tsa/statespace/tests/test_sarimax.py: 1 warning
1895s tsa/tests/test_exponential_smoothing.py: 1 warning
1895s tsa/vector_ar/tests/test_svar.py: 101 warnings
1895s   /usr/lib/python3/dist-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
1895s     warnings.warn("Maximum Likelihood optimization failed to "
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
1895s   /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.
1895s     warnings.warn(msg, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized
1895s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 6 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean
1895s   /usr/lib/python3/dist-packages/statsmodels/base/model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available
1895s     warnings.warn('Inverting hessian failed, no bse or cov_params '
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params
1895s discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce
1895s     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
1895s 
1895s discrete/tests/test_discrete.py::test_perfect_prediction
1895s discrete/tests/test_discrete.py::test_perfect_prediction
1895s discrete/tests/test_discrete.py::test_perfect_prediction
1895s   /usr/lib/python3/dist-packages/statsmodels/discrete/discrete_model.py:227: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified
1895s     warnings.warn(msg, category=PerfectSeparationWarning)
1895s 
1895s discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param
1895s   /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.
1895s     warnings.warn(
1895s 
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 8 out of 10 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence
1895s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict
1895s discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence
1895s discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict
1895s   /usr/lib/python3/dist-packages/statsmodels/base/_prediction_inference.py:782: UserWarning: using default log-link in get_prediction
1895s     warnings.warn("using default log-link in get_prediction")
1895s 
1895s discrete/tests/test_predict.py::test_distr[case9]
1895s discrete/tests/test_predict.py::test_distr[case10]
1895s discrete/tests/test_predict.py::test_distr[case11]
1895s   /usr/lib/python3/dist-packages/statsmodels/stats/outliers_influence.py:545: RuntimeWarning: invalid value encountered in sqrt
1895s     return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag)
1895s 
1895s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized
1895s   /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 4 parameters
1895s   Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers
1895s     warnings.warn(message, ConvergenceWarning)
1895s 
1895s genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True]
1895s genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True]
1895s   /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:314: RuntimeWarning: divide by zero encountered in log
1895s     exposure = np.log(exposure)
1895s 
1895s graphics/tests/test_functional.py: 16 warnings
1895s   /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=3861) is multi-threaded, use of fork() may lead to deadlocks in the child.
1895s     self.pid = os.fork()
1895s 
1895s nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls
1895s   /usr/lib/python3/dist-packages/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in divide
1895s     B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2)
1895s 
1895s nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs
1895s   /usr/lib/python3/dist-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide
1895s     res, _ = _lowess(y, x, x, np.ones_like(x),
1895s 
1895s regression/tests/test_dimred.py::test_covreduce
1895s   /usr/lib/python3/dist-packages/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955
1895s     warnings.warn(msg, ConvergenceWarning)
1895s 
1895s robust/tests/test_scale.py::TestHuberAxes::test_axis1
1895s   /usr/lib/python3/dist-packages/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in divide
1895s     subset = np.less_equal(np.abs((a - mu) / scale), self.c)
1895s 
1895s sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict
1895s   /usr/lib/python3/dist-packages/statsmodels/sandbox/gam.py:327: IterationLimitWarning: 
1895s   Maximum iteration reached.
1895s   
1895s     warnings.warn(iteration_limit_doc, IterationLimitWarning)
1895s 
1895s sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict
1895s   /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.
1895s     warnings.warn("Negative binomial dispersion parameter alpha not "
1895s 
1895s stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest
1895s stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest
1895s stats/tests/test_corrpsd.py::test_corrpsd_threshold[0]
1895s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15]
1895s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10]
1895s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06]
1895s   /usr/lib/python3/dist-packages/statsmodels/stats/correlation_tools.py:89: IterationLimitWarning: 
1895s   Maximum iteration reached.
1895s   
1895s     warnings.warn(iteration_limit_doc, IterationLimitWarning)
1895s 
1895s stats/tests/test_power.py::test_power_solver_warn
1895s   /usr/lib/python3/dist-packages/statsmodels/stats/power.py:132: RuntimeWarning: invalid value encountered in sqrt
1895s     pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma)
1895s 
1895s stats/tests/test_tost.py::test_tost_asym
1895s   /usr/lib/python3/dist-packages/statsmodels/stats/weightstats.py:1479: RuntimeWarning: invalid value encountered in log
1895s     low = transform(low)
1895s 
1895s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1895s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1895s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1895s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid
1895s   /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.
1895s     _index = to_datetime(index)
1895s 
1895s tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r
1895s tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize
1895s   /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
1895s     return func(*args, **kwargs)
1895s 
1895s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul]
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/model.py:84: RuntimeWarning: overflow encountered in matmul
1895s     return err.T @ err
1895s 
1895s tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr]
1895s   /usr/lib/python3/dist-packages/scipy/optimize/_differentiable_functions.py:231: UserWarning: delta_grad == 0.0. Check if the approximated function is linear. If the function is linear better results can be obtained by defining the Hessian as zero instead of using quasi-Newton approximations.
1895s     self.H.update(self.x - self.x_prev, self.g - self.g_prev)
1895s 
1895s tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular]
1895s tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:836: 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.
1895s     return get_prediction_index(
1895s 
1895s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1895s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1895s   /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:898: RuntimeWarning: divide by zero encountered in scalar divide
1895s     return np.sum(resid / self.family.variance(mu)) / self.df_resid
1895s 
1895s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary
1895s   /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)
1895s     warn(f'EM reached maximum number of iterations ({maxiter}),'
1895s 
1895s tsa/statespace/tests/test_mlemodel.py::test_integer_params
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/kalman_filter.py:1762: RuntimeWarning: invalid value encountered in scalar divide
1895s     self.scale = np.sum(scale_obs[d:]) / nobs_k_endog
1895s 
1895s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/mlemodel.py:1233: RuntimeWarning: invalid value encountered in divide
1895s     np.inner(score_obs, score_obs) /
1895s 
1895s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1895s   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3787: RuntimeWarning: Degrees of freedom <= 0 for slice
1895s     return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
1895s 
1895s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1895s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
1895s     arrmean = um.true_divide(arrmean, div, out=arrmean,
1895s 
1895s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs
1895s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
1895s     ret = ret.dtype.type(ret / rcount)
1895s 
1895s tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
1895s     warn('Non-invertible starting MA parameters found.'
1895s 
1895s tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2]
1895s tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1]
1895s   /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).
1895s     warnings.warn(
1895s 
1895s tsa/tests/test_exponential_smoothing.py::test_hessian
1895s   /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.
1895s     austourists_model_fit.model.hessian(
1895s 
1895s tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic]
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/exponential_smoothing/ets.py:1446: RuntimeWarning: invalid value encountered in divide
1895s     self.standardized_forecasts_error = (
1895s 
1895s tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_stattools.py:457: UserWarning: Later subset of data for variable 2 has too few non-missing observations to calculate test statistic.
1895s     actual_statistic, actual_pvalue = breakvar_heteroskedasticity_test(
1895s 
1895s tsa/tests/test_stattools.py::TestKPSS::test_none
1895s   /usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_stattools.py:886: InterpolationWarning: The test statistic is outside of the range of p-values available in the
1895s   look-up table. The actual p-value is smaller than the p-value returned.
1895s   
1895s     kpss(self.x, nlags=None)
1895s 
1895s tsa/tests/test_stattools.py::test_pacf_1_obs
1895s   /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1484: RuntimeWarning: invalid value encountered in scalar divide
1895s     r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed)
1895s 
1895s tsa/tests/test_stattools.py::test_pacf_1_obs
1895s   /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1491: ValueWarning: Matrix is singular. Using pinv.
1895s     warnings.warn("Matrix is singular. Using pinv.", ValueWarning)
1895s 
1895s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:477
1895s   /usr/lib/python3/dist-packages/_pytest/cacheprovider.py:477: 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-n_gut0zn'
1895s     config.cache.set("cache/nodeids", sorted(self.cached_nodeids))
1895s 
1895s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:51
1895s   /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-q8480zj_'
1895s     session.config.cache.set(STEPWISE_CACHE_DIR, [])
1895s 
1895s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
1895s == 17463 passed, 395 skipped, 138 xfailed, 229 warnings in 1344.36s (0:22:24) ==
1899s autopkgtest [19:33:03]: test upstreamtests: -----------------------]
1900s upstreamtests        PASS
1900s autopkgtest [19:33:04]: test upstreamtests:  - - - - - - - - - - results - - - - - - - - - -
1900s autopkgtest [19:33:04]: @@@@@@@@@@@@@@@@@@@@ summary
1900s upstreamtests        PASS