RUN: /usr/share/launchpad-buildd/slavebin/slave-prep ['slave-prep'] Forking launchpad-buildd slave process... Kernel version: Linux mercury 2.6.24-32-xen #1 SMP Mon Dec 3 16:12:25 UTC 2012 x86_64 Buildd toolchain package versions: launchpad-buildd_119~0.IS.08.04 python-lpbuildd_119~0.IS.08.04 bzr-builder_0.7.2+bzr156-0ubuntu1~1.IS.8.04 bzr_2.4.0-0ubuntu2~11.IS.8.04. Syncing the system clock with the buildd NTP service... 16 Dec 21:14:37 ntpdate[3422]: step time server 10.211.37.1 offset -357.860153 sec RUN: /usr/share/launchpad-buildd/slavebin/unpack-chroot ['unpack-chroot', 'PACKAGEBUILD-5356494', '/home/buildd/filecache-default/12e4ee6b87bf44c6597c1aa8fa858d1837106e0d'] Unpacking chroot for build PACKAGEBUILD-5356494 RUN: /usr/share/launchpad-buildd/slavebin/mount-chroot ['mount-chroot', 'PACKAGEBUILD-5356494'] Mounting chroot for build PACKAGEBUILD-5356494 RUN: /usr/share/launchpad-buildd/slavebin/override-sources-list ['override-sources-list', 'PACKAGEBUILD-5356494', 'deb http://ppa.launchpad.net/pythonxy/pythonxy-devel/ubuntu raring main', 'deb http://ftpmaster.internal/ubuntu raring main restricted universe multiverse', 'deb http://ftpmaster.internal/ubuntu raring-security main restricted universe multiverse', 'deb http://ftpmaster.internal/ubuntu raring-updates main restricted universe multiverse'] Overriding sources.list in build-PACKAGEBUILD-5356494 RUN: /usr/share/launchpad-buildd/slavebin/update-debian-chroot ['update-debian-chroot', 'PACKAGEBUILD-5356494', 'i386'] Updating debian chroot for build PACKAGEBUILD-5356494 Get:1 http://ppa.launchpad.net raring Release.gpg [316 B] Get:2 http://ftpmaster.internal raring Release.gpg [933 B] Get:3 http://ftpmaster.internal raring-security Release.gpg [933 B] Get:4 http://ppa.launchpad.net raring Release [9756 B] Get:5 http://ftpmaster.internal raring-updates Release.gpg [933 B] Get:6 http://ftpmaster.internal raring Release [40.8 kB] Get:7 http://ftpmaster.internal raring-security Release [40.8 kB] Get:8 http://ftpmaster.internal raring-updates Release [40.8 kB] Ign http://ppa.launchpad.net raring Release Get:9 http://ppa.launchpad.net raring/main i386 Packages [6391 B] Ign http://ppa.launchpad.net raring/main Translation-en Get:10 http://ftpmaster.internal raring/main i386 Packages [1168 kB] Get:11 http://ftpmaster.internal raring/restricted i386 Packages [9623 B] Get:12 http://ftpmaster.internal raring/universe i386 Packages [5405 kB] Get:13 http://ftpmaster.internal raring/multiverse i386 Packages [131 kB] Get:14 http://ftpmaster.internal raring/main Translation-en [673 kB] Get:15 http://ftpmaster.internal raring/multiverse Translation-en [98.4 kB] Get:16 http://ftpmaster.internal raring/restricted Translation-en [2767 B] Get:17 http://ftpmaster.internal raring/universe Translation-en [3736 kB] Get:18 http://ftpmaster.internal raring-security/main i386 Packages [135 kB] Get:19 http://ftpmaster.internal raring-security/restricted i386 Packages [14 B] Get:20 http://ftpmaster.internal raring-security/universe i386 Packages [45.5 kB] Get:21 http://ftpmaster.internal raring-security/multiverse i386 Packages [3862 B] Get:22 http://ftpmaster.internal raring-security/main Translation-en [70.4 kB] Get:23 http://ftpmaster.internal raring-security/multiverse Translation-en [1826 B] Get:24 http://ftpmaster.internal raring-security/restricted Translation-en [14 B] Get:25 http://ftpmaster.internal raring-security/universe Translation-en [27.8 kB] Get:26 http://ftpmaster.internal raring-updates/main i386 Packages [207 kB] Get:27 http://ftpmaster.internal raring-updates/restricted i386 Packages [14 B] Get:28 http://ftpmaster.internal raring-updates/universe i386 Packages [163 kB] Get:29 http://ftpmaster.internal raring-updates/multiverse i386 Packages [4796 B] Get:30 http://ftpmaster.internal raring-updates/main Translation-en [101 kB] Get:31 http://ftpmaster.internal raring-updates/multiverse Translation-en [2212 B] Get:32 http://ftpmaster.internal raring-updates/restricted Translation-en [14 B] Get:33 http://ftpmaster.internal raring-updates/universe Translation-en [82.4 kB] Fetched 12.2 MB in 8s (1357 kB/s) Reading package lists... W: GPG error: http://ppa.launchpad.net raring Release: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 1A541110ADC95410 Reading package lists... Building dependency tree... Reading state information... The following packages will be upgraded: apt apt-transport-https gnupg gpgv ifupdown initramfs-tools initramfs-tools-bin libapt-pkg4.12 libasn1-8-heimdal libc-bin libc-dev-bin libc6 libc6-dev libcurl3-gnutls libdbus-1-3 libdrm2 libgcrypt11 libgnutls26 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libkrb5-26-heimdal libldap-2.4-2 libplymouth2 libprocps0 libroken18-heimdal libsasl2-2 libssl1.0.0 libudev1 libwind0-heimdal linux-libc-dev login lsb-base multiarch-support passwd plymouth procps tzdata 40 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. Need to get 20.6 MB of archives. After this operation, 45.1 kB of additional disk space will be used. WARNING: The following packages cannot be authenticated! login libc6-dev libc-dev-bin linux-libc-dev libc-bin libc6 libapt-pkg4.12 gpgv gnupg apt libssl1.0.0 lsb-base ifupdown libdbus-1-3 libdrm2 libudev1 initramfs-tools initramfs-tools-bin plymouth libplymouth2 libprocps0 libroken18-heimdal libasn1-8-heimdal libgcrypt11 libgnutls26 libhcrypto4-heimdal libheimbase1-heimdal libwind0-heimdal libhx509-5-heimdal libkrb5-26-heimdal libheimntlm0-heimdal libgssapi3-heimdal libsasl2-2 libldap-2.4-2 libcurl3-gnutls multiarch-support passwd tzdata procps apt-transport-https Authentication warning overridden. Get:1 http://ftpmaster.internal/ubuntu/ raring-updates/main login i386 1:4.1.5.1-1ubuntu4.1 [323 kB] Get:2 http://ftpmaster.internal/ubuntu/ raring-security/main libc6-dev i386 2.17-0ubuntu5.1 [5513 kB] Get:3 http://ftpmaster.internal/ubuntu/ raring-security/main libc-dev-bin i386 2.17-0ubuntu5.1 [73.1 kB] Get:4 http://ftpmaster.internal/ubuntu/ raring-security/main linux-libc-dev i386 3.8.0-34.49 [934 kB] Get:5 http://ftpmaster.internal/ubuntu/ raring-security/main libc-bin i386 2.17-0ubuntu5.1 [1130 kB] Get:6 http://ftpmaster.internal/ubuntu/ raring-security/main libc6 i386 2.17-0ubuntu5.1 [4033 kB] Get:7 http://ftpmaster.internal/ubuntu/ raring-updates/main libapt-pkg4.12 i386 0.9.7.7ubuntu6 [819 kB] Get:8 http://ftpmaster.internal/ubuntu/ raring-security/main gpgv i386 1.4.12-7ubuntu1.2 [178 kB] Get:9 http://ftpmaster.internal/ubuntu/ raring-security/main gnupg i386 1.4.12-7ubuntu1.2 [797 kB] Get:10 http://ftpmaster.internal/ubuntu/ raring-updates/main apt i386 0.9.7.7ubuntu6 [1184 kB] Get:11 http://ftpmaster.internal/ubuntu/ raring-security/main libssl1.0.0 i386 1.0.1c-4ubuntu8.1 [1007 kB] Get:12 http://ftpmaster.internal/ubuntu/ raring-updates/main lsb-base all 4.0-0ubuntu27.3 [10.4 kB] Get:13 http://ftpmaster.internal/ubuntu/ raring-updates/main ifupdown i386 0.7.5ubuntu2.2 [51.9 kB] Get:14 http://ftpmaster.internal/ubuntu/ raring-security/main libdbus-1-3 i386 1.6.8-1ubuntu6.1 [154 kB] Get:15 http://ftpmaster.internal/ubuntu/ raring-updates/main libdrm2 i386 2.4.43-0ubuntu1.1 [27.6 kB] Get:16 http://ftpmaster.internal/ubuntu/ raring-security/main libudev1 i386 198-0ubuntu11.2 [37.3 kB] Get:17 http://ftpmaster.internal/ubuntu/ raring-updates/main initramfs-tools all 0.103ubuntu0.8 [48.9 kB] Get:18 http://ftpmaster.internal/ubuntu/ raring-updates/main initramfs-tools-bin i386 0.103ubuntu0.8 [9746 B] Get:19 http://ftpmaster.internal/ubuntu/ raring-updates/main plymouth i386 0.8.8-0ubuntu6.2 [127 kB] Get:20 http://ftpmaster.internal/ubuntu/ raring-updates/main libplymouth2 i386 0.8.8-0ubuntu6.2 [100 kB] Get:21 http://ftpmaster.internal/ubuntu/ raring-updates/main libprocps0 i386 1:3.3.3-2ubuntu5.3 [34.6 kB] Get:22 http://ftpmaster.internal/ubuntu/ raring-updates/main libroken18-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [47.1 kB] Get:23 http://ftpmaster.internal/ubuntu/ raring-updates/main libasn1-8-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [233 kB] Get:24 http://ftpmaster.internal/ubuntu/ raring-security/main libgcrypt11 i386 1.5.0-3ubuntu2.2 [280 kB] Get:25 http://ftpmaster.internal/ubuntu/ raring-security/main libgnutls26 i386 2.12.23-1ubuntu1.1 [449 kB] Get:26 http://ftpmaster.internal/ubuntu/ raring-updates/main libhcrypto4-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [103 kB] Get:27 http://ftpmaster.internal/ubuntu/ raring-updates/main libheimbase1-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [33.0 kB] Get:28 http://ftpmaster.internal/ubuntu/ raring-updates/main libwind0-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [77.5 kB] Get:29 http://ftpmaster.internal/ubuntu/ raring-updates/main libhx509-5-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [126 kB] Get:30 http://ftpmaster.internal/ubuntu/ raring-updates/main libkrb5-26-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [236 kB] Get:31 http://ftpmaster.internal/ubuntu/ raring-updates/main libheimntlm0-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [16.6 kB] Get:32 http://ftpmaster.internal/ubuntu/ raring-updates/main libgssapi3-heimdal i386 1.6~git20120403+dfsg1-2ubuntu0.13.04.1 [111 kB] Get:33 http://ftpmaster.internal/ubuntu/ raring-security/main libsasl2-2 i386 2.1.25.dfsg1-6ubuntu0.1 [68.6 kB] Get:34 http://ftpmaster.internal/ubuntu/ raring-updates/main libldap-2.4-2 i386 2.4.31-1ubuntu2.1 [185 kB] Get:35 http://ftpmaster.internal/ubuntu/ raring-security/main libcurl3-gnutls i386 7.29.0-1ubuntu3.3 [240 kB] Get:36 http://ftpmaster.internal/ubuntu/ raring-security/main multiarch-support i386 2.17-0ubuntu5.1 [4482 B] Get:37 http://ftpmaster.internal/ubuntu/ raring-updates/main passwd i386 1:4.1.5.1-1ubuntu4.1 [1051 kB] Get:38 http://ftpmaster.internal/ubuntu/ raring-updates/main tzdata all 2013g-0ubuntu0.13.04 [478 kB] Get:39 http://ftpmaster.internal/ubuntu/ raring-updates/main procps i386 1:3.3.3-2ubuntu5.3 [221 kB] Get:40 http://ftpmaster.internal/ubuntu/ raring-updates/main apt-transport-https i386 0.9.7.7ubuntu6 [15.6 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 20.6 MB in 2s (9790 kB/s) (Reading database ... 12143 files and directories currently installed.) Preparing to replace login 1:4.1.5.1-1ubuntu4 (using .../login_1%3a4.1.5.1-1ubuntu4.1_i386.deb) ... Unpacking replacement login ... Setting up login (1:4.1.5.1-1ubuntu4.1) ... (Reading database ... 12143 files and directories currently installed.) Preparing to replace libc6-dev:i386 2.17-0ubuntu5 (using .../libc6-dev_2.17-0ubuntu5.1_i386.deb) ... Unpacking replacement libc6-dev:i386 ... Preparing to replace libc-dev-bin 2.17-0ubuntu5 (using .../libc-dev-bin_2.17-0ubuntu5.1_i386.deb) ... Unpacking replacement libc-dev-bin ... Preparing to replace linux-libc-dev:i386 3.8.0-19.29 (using .../linux-libc-dev_3.8.0-34.49_i386.deb) ... Unpacking replacement linux-libc-dev:i386 ... Preparing to replace libc-bin 2.17-0ubuntu5 (using .../libc-bin_2.17-0ubuntu5.1_i386.deb) ... Unpacking replacement libc-bin ... Setting up libc-bin (2.17-0ubuntu5.1) ... (Reading database ... 12143 files and directories currently installed.) Preparing to replace libc6:i386 2.17-0ubuntu5 (using .../libc6_2.17-0ubuntu5.1_i386.deb) ... Unpacking replacement libc6:i386 ... Setting up libc6:i386 (2.17-0ubuntu5.1) ... Processing triggers for libc-bin ... ldconfig deferred processing now taking place (Reading database ... 12143 files and directories currently installed.) Preparing to replace libapt-pkg4.12:i386 0.9.7.7ubuntu4 (using .../libapt-pkg4.12_0.9.7.7ubuntu6_i386.deb) ... Unpacking replacement libapt-pkg4.12:i386 ... Setting up libapt-pkg4.12:i386 (0.9.7.7ubuntu6) ... Processing triggers for libc-bin ... ldconfig deferred processing now taking place (Reading database ... 12143 files and directories currently installed.) Preparing to replace gpgv 1.4.12-7ubuntu1 (using .../gpgv_1.4.12-7ubuntu1.2_i386.deb) ... Unpacking replacement gpgv ... Setting up gpgv (1.4.12-7ubuntu1.2) ... (Reading database ... 12143 files and directories currently installed.) Preparing to replace gnupg 1.4.12-7ubuntu1 (using .../gnupg_1.4.12-7ubuntu1.2_i386.deb) ... Unpacking replacement gnupg ... Setting up gnupg (1.4.12-7ubuntu1.2) ... (Reading database ... 12143 files and directories currently installed.) Preparing to replace apt 0.9.7.7ubuntu4 (using .../apt_0.9.7.7ubuntu6_i386.deb) ... Unpacking replacement apt ... Setting up apt (0.9.7.7ubuntu6) ... gpg: key 437D05B5: "Ubuntu Archive Automatic Signing Key " not changed gpg: key FBB75451: "Ubuntu CD Image Automatic Signing Key " not changed gpg: key C0B21F32: "Ubuntu Archive Automatic Signing Key (2012) " not changed gpg: key EFE21092: "Ubuntu CD Image Automatic Signing Key (2012) " not changed gpg: Total number processed: 4 gpg: unchanged: 4 (Reading database ... 12143 files and directories currently installed.) Preparing to replace libssl1.0.0:i386 1.0.1c-4ubuntu8 (using .../libssl1.0.0_1.0.1c-4ubuntu8.1_i386.deb) ... Unpacking replacement libssl1.0.0:i386 ... Preparing to replace lsb-base 4.0-0ubuntu27 (using .../lsb-base_4.0-0ubuntu27.3_all.deb) ... Unpacking replacement lsb-base ... Setting up lsb-base (4.0-0ubuntu27.3) ... (Reading database ... 12143 files and directories currently installed.) Preparing to replace ifupdown 0.7.5ubuntu2 (using .../ifupdown_0.7.5ubuntu2.2_i386.deb) ... Unpacking replacement ifupdown ... Preparing to replace libdbus-1-3:i386 1.6.8-1ubuntu6 (using .../libdbus-1-3_1.6.8-1ubuntu6.1_i386.deb) ... Unpacking replacement libdbus-1-3:i386 ... Preparing to replace libdrm2:i386 2.4.43-0ubuntu1 (using .../libdrm2_2.4.43-0ubuntu1.1_i386.deb) ... Unpacking replacement libdrm2:i386 ... Preparing to replace libudev1:i386 198-0ubuntu11 (using .../libudev1_198-0ubuntu11.2_i386.deb) ... Unpacking replacement libudev1:i386 ... Preparing to replace initramfs-tools 0.103ubuntu0.7 (using .../initramfs-tools_0.103ubuntu0.8_all.deb) ... Unpacking replacement initramfs-tools ... Preparing to replace initramfs-tools-bin 0.103ubuntu0.7 (using .../initramfs-tools-bin_0.103ubuntu0.8_i386.deb) ... Unpacking replacement initramfs-tools-bin ... Preparing to replace plymouth 0.8.8-0ubuntu6 (using .../plymouth_0.8.8-0ubuntu6.2_i386.deb) ... Unpacking replacement plymouth ... Preparing to replace libplymouth2:i386 0.8.8-0ubuntu6 (using .../libplymouth2_0.8.8-0ubuntu6.2_i386.deb) ... Unpacking replacement libplymouth2:i386 ... Preparing to replace libprocps0:i386 1:3.3.3-2ubuntu5 (using .../libprocps0_1%3a3.3.3-2ubuntu5.3_i386.deb) ... Unpacking replacement libprocps0:i386 ... Preparing to replace libroken18-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libroken18-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libroken18-heimdal:i386 ... Preparing to replace libasn1-8-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libasn1-8-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libasn1-8-heimdal:i386 ... Preparing to replace libgcrypt11:i386 1.5.0-3ubuntu2.1 (using .../libgcrypt11_1.5.0-3ubuntu2.2_i386.deb) ... Unpacking replacement libgcrypt11:i386 ... Preparing to replace libgnutls26:i386 2.12.23-1ubuntu1 (using .../libgnutls26_2.12.23-1ubuntu1.1_i386.deb) ... Unpacking replacement libgnutls26:i386 ... Preparing to replace libhcrypto4-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libhcrypto4-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libhcrypto4-heimdal:i386 ... Preparing to replace libheimbase1-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libheimbase1-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libheimbase1-heimdal:i386 ... Preparing to replace libwind0-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libwind0-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libwind0-heimdal:i386 ... Preparing to replace libhx509-5-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libhx509-5-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libhx509-5-heimdal:i386 ... Preparing to replace libkrb5-26-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libkrb5-26-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libkrb5-26-heimdal:i386 ... Preparing to replace libheimntlm0-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libheimntlm0-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libheimntlm0-heimdal:i386 ... Preparing to replace libgssapi3-heimdal:i386 1.6~git20120403+dfsg1-2 (using .../libgssapi3-heimdal_1.6~git20120403+dfsg1-2ubuntu0.13.04.1_i386.deb) ... Unpacking replacement libgssapi3-heimdal:i386 ... Preparing to replace libsasl2-2:i386 2.1.25.dfsg1-6 (using .../libsasl2-2_2.1.25.dfsg1-6ubuntu0.1_i386.deb) ... Unpacking replacement libsasl2-2:i386 ... Preparing to replace libldap-2.4-2:i386 2.4.31-1ubuntu2 (using .../libldap-2.4-2_2.4.31-1ubuntu2.1_i386.deb) ... Unpacking replacement libldap-2.4-2:i386 ... Preparing to replace libcurl3-gnutls:i386 7.29.0-1ubuntu3 (using .../libcurl3-gnutls_7.29.0-1ubuntu3.3_i386.deb) ... Unpacking replacement libcurl3-gnutls:i386 ... Preparing to replace multiarch-support 2.17-0ubuntu5 (using .../multiarch-support_2.17-0ubuntu5.1_i386.deb) ... Unpacking replacement multiarch-support ... Setting up multiarch-support (2.17-0ubuntu5.1) ... (Reading database ... 12145 files and directories currently installed.) Preparing to replace passwd 1:4.1.5.1-1ubuntu4 (using .../passwd_1%3a4.1.5.1-1ubuntu4.1_i386.deb) ... Unpacking replacement passwd ... Setting up passwd (1:4.1.5.1-1ubuntu4.1) ... (Reading database ... 12145 files and directories currently installed.) Preparing to replace tzdata 2013b-1ubuntu1 (using .../tzdata_2013g-0ubuntu0.13.04_all.deb) ... Unpacking replacement tzdata ... Setting up tzdata (2013g-0ubuntu0.13.04) ... Current default time zone: 'Etc/UTC' Local time is now: Mon Dec 16 21:09:39 UTC 2013. Universal Time is now: Mon Dec 16 21:09:39 UTC 2013. Run 'dpkg-reconfigure tzdata' if you wish to change it. (Reading database ... 12145 files and directories currently installed.) Preparing to replace procps 1:3.3.3-2ubuntu5 (using .../procps_1%3a3.3.3-2ubuntu5.3_i386.deb) ... invoke-rc.d: policy-rc.d denied execution of stop. Unpacking replacement procps ... Preparing to replace apt-transport-https 0.9.7.7ubuntu4 (using .../apt-transport-https_0.9.7.7ubuntu6_i386.deb) ... Unpacking replacement apt-transport-https ... Setting up libc-dev-bin (2.17-0ubuntu5.1) ... Setting up linux-libc-dev:i386 (3.8.0-34.49) ... Setting up libc6-dev:i386 (2.17-0ubuntu5.1) ... Setting up libssl1.0.0:i386 (1.0.1c-4ubuntu8.1) ... Setting up ifupdown (0.7.5ubuntu2.2) ... Setting up libdbus-1-3:i386 (1.6.8-1ubuntu6.1) ... Setting up libdrm2:i386 (2.4.43-0ubuntu1.1) ... Setting up libudev1:i386 (198-0ubuntu11.2) ... Setting up initramfs-tools-bin (0.103ubuntu0.8) ... Setting up initramfs-tools (0.103ubuntu0.8) ... update-initramfs: deferring update (trigger activated) Setting up libplymouth2:i386 (0.8.8-0ubuntu6.2) ... Setting up plymouth (0.8.8-0ubuntu6.2) ... update-initramfs: deferring update (trigger activated) Setting up libprocps0:i386 (1:3.3.3-2ubuntu5.3) ... Setting up libroken18-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libasn1-8-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libgcrypt11:i386 (1.5.0-3ubuntu2.2) ... Setting up libgnutls26:i386 (2.12.23-1ubuntu1.1) ... Setting up libhcrypto4-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libheimbase1-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libwind0-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libhx509-5-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libkrb5-26-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libheimntlm0-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libgssapi3-heimdal:i386 (1.6~git20120403+dfsg1-2ubuntu0.13.04.1) ... Setting up libsasl2-2:i386 (2.1.25.dfsg1-6ubuntu0.1) ... Setting up libldap-2.4-2:i386 (2.4.31-1ubuntu2.1) ... Setting up libcurl3-gnutls:i386 (7.29.0-1ubuntu3.3) ... Setting up procps (1:3.3.3-2ubuntu5.3) ... invoke-rc.d: policy-rc.d denied execution of start. Setting up apt-transport-https (0.9.7.7ubuntu6) ... Processing triggers for libc-bin ... ldconfig deferred processing now taking place Processing triggers for initramfs-tools ... RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package ['sbuild-package', 'PACKAGEBUILD-5356494', 'i386', 'raring', '--nolog', '--batch', '--archive=ubuntu', '--dist=raring', '-A', '--purpose=PPA', '--architecture=i386', '--comp=main', 'statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1.dsc'] Initiating build PACKAGEBUILD-5356494 with 2 jobs across 2 processor cores. Kernel reported to sbuild: 2.6.24-32-xen #1 SMP Mon Dec 3 16:12:25 UTC 2012 i686 Automatic build of statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1 on mercury by sbuild/i386 1.170.5 Build started at 20131216-2109 ****************************************************************************** statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1.dsc exists in cwd ** Using build dependencies supplied by package: Build-Depends: debhelper (>= 7.0.50~), python-support (>= 0.6), python-all-dev, python-setuptools, python-numpy (>= 1:1.4.0), python-scipy, python-patsy, python-nose, python-matplotlib, python-sphinx (>= 1.0.6), python-pandas, ipython (>= 0.12) | ipython01x, cython Checking for already installed source dependencies... debhelper: missing python-support: missing python-all-dev: missing python-setuptools: missing python-numpy: missing python-scipy: missing python-patsy: missing python-nose: missing python-matplotlib: missing python-sphinx: missing python-pandas: missing ipython: missing ipython01x: missing ipython01x: does not exist cython: missing Checking for source dependency conflicts... /usr/bin/sudo /usr/bin/apt-get --purge $CHROOT_OPTIONS -q -y install debhelper python-support python-all-dev python-setuptools python-numpy python-scipy python-patsy python-nose python-matplotlib python-sphinx python-pandas ipython cython Reading package lists... Building dependency tree... Reading state information... The following extra packages will be installed: bsdmainutils dh-apparmor docutils-common file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base html2text intltool-debian libamd2.2.0 libasprintf-dev libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libcairo2 libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgettextpo-dev libgettextpo0 libgfortran3 libgtk2.0-0 libgtk2.0-common libharfbuzz0 libicu48 libjasper1 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-sphinxdoc libjs-underscore liblapack3 libmagic1 libpango1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libthai-data libthai0 libtiff5 libumfpack5.4.0 libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 man-db mime-support po-debconf python python-all python-configobj python-dateutil python-decorator python-dev python-docutils python-jinja2 python-markupsafe python-matplotlib-data python-minimal python-pandas-lib python-pexpect python-pkg-resources python-pygments python-pyparsing python-roman python-simplegeneric python-tz python2.7 python2.7-dev python2.7-minimal sgml-base shared-mime-info sphinx-common tcl8.5 tcl8.5-lib tk8.5 tk8.5-lib ttf-dejavu-core ucf x11-common xml-core Suggested packages: wamerican wordlist whois vacation dh-make gettext-doc groff ipython-doc ipython-notebook ipython-qtconsole python-argparse python-profiler python-zmq cups-common librsvg2-common gvfs libjasper-runtime javascript-common ttf-baekmuk ttf-arphic-gbsn00lp ttf-arphic-bsmi00lp ttf-arphic-gkai00mp ttf-arphic-bkai00mp less www-browser libmail-box-perl python-tk texlive-latex-recommended texlive-latex-base texlive-lang-french fonts-linuxlibertine ttf-linux-libertine python-jinja2-doc dvipng gir1.2-gtk-3.0 python-cairo python-excelerator python-fltk python-gobject python-gtk2 python-matplotlib-doc python-qt4 python-sip python-traits python-wxgtk2.8 texlive-extra-utils texlive-latex-extra python-coverage python-nose-doc python-numpy-doc python-numpy-dbg gfortran python-pandas-doc python-distribute python-distribute-doc ttf-bitstream-vera jsmath libjs-mathjax texlive-fonts-recommended python2.7-doc binfmt-support sgml-base-doc tcl-tclreadline Recommended packages: curl wget lynx-cur hicolor-icon-theme libgtk2.0-bin libmail-sendmail-perl python-imaging libpaper-utils python-lxml docutils-doc python-glade2 python-tables python-openpyxl python-xlwt python-xlrd python-statsmodels python-numexpr python-bottleneck python-bs4 python-chardet sphinx-doc xterm x-terminal-emulator The following NEW packages will be installed: bsdmainutils cython debhelper dh-apparmor docutils-common file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base html2text intltool-debian ipython libamd2.2.0 libasprintf-dev libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libcairo2 libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgettextpo-dev libgettextpo0 libgfortran3 libgtk2.0-0 libgtk2.0-common libharfbuzz0 libicu48 libjasper1 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-sphinxdoc libjs-underscore liblapack3 libmagic1 libpango1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libthai-data libthai0 libtiff5 libumfpack5.4.0 libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 man-db mime-support po-debconf python python-all python-all-dev python-configobj python-dateutil python-decorator python-dev python-docutils python-jinja2 python-markupsafe python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pandas python-pandas-lib python-patsy python-pexpect python-pkg-resources python-pygments python-pyparsing python-roman python-scipy python-setuptools python-simplegeneric python-sphinx python-support python-tz python2.7 python2.7-dev python2.7-minimal sgml-base shared-mime-info sphinx-common tcl8.5 tcl8.5-lib tk8.5 tk8.5-lib ttf-dejavu-core ucf x11-common xml-core 0 upgraded, 130 newly installed, 0 to remove and 0 not upgraded. Need to get 77.0 MB of archives. After this operation, 219 MB of additional disk space will be used. WARNING: The following packages cannot be authenticated! libexpat1 libmagic1 libasprintf0c2 libpipeline1 libxau6 libxdmcp6 libxcb1 libx11-data libx11-6 libxext6 libxml2 groff-base bsdmainutils man-db sgml-base ucf ttf-dejavu-core fontconfig-config libatk1.0-data libatk1.0-0 libavahi-common-data libavahi-common3 libavahi-client3 libfreetype6 libfontconfig1 libpixman-1-0 libxcb-render0 libxcb-shm0 libxrender1 libcairo2 libcroco3 libcups2 libdatrie1 libjpeg-turbo8 libjpeg8 libjasper1 libjbig0 libtiff5 libgdk-pixbuf2.0-common libgdk-pixbuf2.0-0 libunistring0 libgettextpo0 libgfortran3 libgtk2.0-common libicu48 libharfbuzz0 libthai-data libthai0 libxft2 fontconfig libpango1.0-0 libxcomposite1 libxfixes3 libxcursor1 libxdamage1 libxi6 libxinerama1 libxrandr2 shared-mime-info libgtk2.0-0 libpython2.7-minimal mime-support libpython2.7-stdlib libpython2.7 libexpat1-dev libpython2.7-dev x11-common libxss1 tcl8.5-lib tk8.5-lib file gettext-base xml-core python2.7-minimal python2.7 python-minimal libpython-stdlib python cython html2text libasprintf-dev libgettextpo-dev gettext intltool-debian po-debconf dh-apparmor debhelper docutils-common fonts-lyx python-configobj python-decorator python-pexpect python-simplegeneric ipython libamd2.2.0 libblas3 libjs-jquery libjs-underscore libjs-sphinxdoc liblapack3 libpython-dev libpython-all-dev libumfpack5.4.0 python-all python2.7-dev python-dev python-all-dev python-dateutil python-roman python-docutils python-markupsafe python-jinja2 python-matplotlib-data python-pyparsing python-tz python-numpy python-support tcl8.5 tk8.5 python-matplotlib python-pkg-resources python-nose python-pandas-lib python-pandas python-pygments python-setuptools sphinx-common python-sphinx python-patsy python-scipy Authentication warning overridden. Get:1 http://ftpmaster.internal/ubuntu/ raring/main libexpat1 i386 2.1.0-2 [129 kB] Get:2 http://ppa.launchpad.net/pythonxy/pythonxy-devel/ubuntu/ raring/main python-pandas-lib i386 0.13.0~ppa11~revno-5552~ubuntu13.04.1 [1456 kB] Get:3 http://ftpmaster.internal/ubuntu/ raring/main libmagic1 i386 5.11-2ubuntu4 [172 kB] Get:4 http://ftpmaster.internal/ubuntu/ raring/main libasprintf0c2 i386 0.18.1.1-10ubuntu3 [6700 B] Get:5 http://ftpmaster.internal/ubuntu/ raring/main libpipeline1 i386 1.2.2-2 [26.4 kB] Get:6 http://ftpmaster.internal/ubuntu/ raring/main libxau6 i386 1:1.0.7-1 [8582 B] Get:7 http://ftpmaster.internal/ubuntu/ raring/main libxdmcp6 i386 1:1.1.1-1 [13.1 kB] Get:8 http://ppa.launchpad.net/pythonxy/pythonxy-devel/ubuntu/ raring/main python-pandas all 0.13.0~ppa11~revno-5552~ubuntu13.04.1 [1367 kB] Get:9 http://ftpmaster.internal/ubuntu/ raring-security/main libxcb1 i386 1.8.1-2ubuntu2.1 [48.8 kB] Get:10 http://ftpmaster.internal/ubuntu/ raring-security/main libx11-data all 2:1.5.0-1ubuntu1.1 [179 kB] Get:11 http://ftpmaster.internal/ubuntu/ raring-security/main libx11-6 i386 2:1.5.0-1ubuntu1.1 [777 kB] Get:12 http://ppa.launchpad.net/pythonxy/pythonxy-devel/ubuntu/ raring/main python-patsy i386 0.2.1~ppa13~revno-250~ubuntu13.04.1 [154 kB] Get:13 http://ftpmaster.internal/ubuntu/ raring-security/main libxext6 i386 2:1.3.1-2ubuntu0.13.04.1 [34.6 kB] Get:14 http://ftpmaster.internal/ubuntu/ raring-security/main libxml2 i386 2.9.0+dfsg1-4ubuntu4.3 [681 kB] Get:15 http://ftpmaster.internal/ubuntu/ raring/main groff-base i386 1.22.1-3 [705 kB] Get:16 http://ftpmaster.internal/ubuntu/ raring/main bsdmainutils i386 9.0.4ubuntu3 [198 kB] Get:17 http://ftpmaster.internal/ubuntu/ raring/main man-db i386 2.6.3-3 [633 kB] Get:18 http://ftpmaster.internal/ubuntu/ raring/main sgml-base all 1.26+nmu4ubuntu1 [12.5 kB] Get:19 http://ftpmaster.internal/ubuntu/ raring/main ucf all 3.0025+nmu3 [55.0 kB] Get:20 http://ftpmaster.internal/ubuntu/ raring/main ttf-dejavu-core all 2.33-3ubuntu2 [1019 kB] Get:21 http://ftpmaster.internal/ubuntu/ raring/main fontconfig-config all 2.10.2-0ubuntu2 [46.5 kB] Get:22 http://ftpmaster.internal/ubuntu/ raring/main libatk1.0-data all 2.8.0-1 [13.0 kB] Get:23 http://ftpmaster.internal/ubuntu/ raring/main libatk1.0-0 i386 2.8.0-1 [49.0 kB] Get:24 http://ftpmaster.internal/ubuntu/ raring/main libavahi-common-data i386 0.6.31-1ubuntu3 [21.8 kB] Get:25 http://ftpmaster.internal/ubuntu/ raring/main libavahi-common3 i386 0.6.31-1ubuntu3 [26.1 kB] Get:26 http://ftpmaster.internal/ubuntu/ raring/main libavahi-client3 i386 0.6.31-1ubuntu3 [29.8 kB] Get:27 http://ftpmaster.internal/ubuntu/ raring/main libfreetype6 i386 2.4.11-0ubuntu1 [347 kB] Get:28 http://ftpmaster.internal/ubuntu/ raring/main libfontconfig1 i386 2.10.2-0ubuntu2 [137 kB] Get:29 http://ftpmaster.internal/ubuntu/ raring-security/main libpixman-1-0 i386 0.28.2-0ubuntu1.1 [250 kB] Get:30 http://ftpmaster.internal/ubuntu/ raring-security/main libxcb-render0 i386 1.8.1-2ubuntu2.1 [14.2 kB] Get:31 http://ftpmaster.internal/ubuntu/ raring-security/main libxcb-shm0 i386 1.8.1-2ubuntu2.1 [5748 B] Get:32 http://ftpmaster.internal/ubuntu/ raring-security/main libxrender1 i386 1:0.9.7-1ubuntu0.13.04.1 [20.5 kB] Get:33 http://ftpmaster.internal/ubuntu/ raring/main libcairo2 i386 1.12.14-0ubuntu1 [643 kB] Get:34 http://ftpmaster.internal/ubuntu/ raring/main libcroco3 i386 0.6.8-1 [81.7 kB] Get:35 http://ftpmaster.internal/ubuntu/ raring/main libcups2 i386 1.6.2-1ubuntu5 [197 kB] Get:36 http://ftpmaster.internal/ubuntu/ raring/main libdatrie1 i386 0.2.6-1 [16.9 kB] Get:37 http://ftpmaster.internal/ubuntu/ raring/main libjpeg-turbo8 i386 1.2.1-0ubuntu2 [120 kB] Get:38 http://ftpmaster.internal/ubuntu/ raring/main libjpeg8 i386 8c-2ubuntu7 [2112 B] Get:39 http://ftpmaster.internal/ubuntu/ raring/main libjasper1 i386 1.900.1-14 [154 kB] Get:40 http://ftpmaster.internal/ubuntu/ raring/main libjbig0 i386 2.0-2ubuntu1 [28.0 kB] Get:41 http://ftpmaster.internal/ubuntu/ raring-security/main libtiff5 i386 4.0.2-4ubuntu2.1 [170 kB] Get:42 http://ftpmaster.internal/ubuntu/ raring/main libgdk-pixbuf2.0-common all 2.28.0-0ubuntu1 [8090 B] Get:43 http://ftpmaster.internal/ubuntu/ raring/main libgdk-pixbuf2.0-0 i386 2.28.0-0ubuntu1 [157 kB] Get:44 http://ftpmaster.internal/ubuntu/ raring/main libunistring0 i386 0.9.3-5build1 [430 kB] Get:45 http://ftpmaster.internal/ubuntu/ raring/main libgettextpo0 i386 0.18.1.1-10ubuntu3 [120 kB] Get:46 http://ftpmaster.internal/ubuntu/ raring/main libgfortran3 i386 4.7.3-1ubuntu1 [326 kB] Get:47 http://ftpmaster.internal/ubuntu/ raring/main libgtk2.0-common all 2.24.17-0ubuntu2 [119 kB] Get:48 http://ftpmaster.internal/ubuntu/ raring-security/main libicu48 i386 4.8.1.1-12ubuntu0.1 [4771 kB] Get:49 http://ftpmaster.internal/ubuntu/ raring/main libharfbuzz0 i386 0.9.13-1 [270 kB] Get:50 http://ftpmaster.internal/ubuntu/ raring/main libthai-data all 0.1.19-1 [130 kB] Get:51 http://ftpmaster.internal/ubuntu/ raring/main libthai0 i386 0.1.19-1 [17.6 kB] Get:52 http://ftpmaster.internal/ubuntu/ raring/main libxft2 i386 2.3.1-1 [43.2 kB] Get:53 http://ftpmaster.internal/ubuntu/ raring/main fontconfig i386 2.10.2-0ubuntu2 [168 kB] Get:54 http://ftpmaster.internal/ubuntu/ raring/main libpango1.0-0 i386 1.32.5-0ubuntu1 [234 kB] Get:55 http://ftpmaster.internal/ubuntu/ raring/main libxcomposite1 i386 1:0.4.3-2build2 [7664 B] Get:56 http://ftpmaster.internal/ubuntu/ raring-security/main libxfixes3 i386 1:5.0-4ubuntu5.13.04.1 [12.4 kB] Get:57 http://ftpmaster.internal/ubuntu/ raring-security/main libxcursor1 i386 1:1.1.13-1ubuntu0.13.04.1 [23.8 kB] Get:58 http://ftpmaster.internal/ubuntu/ raring/main libxdamage1 i386 1:1.1.3-2build2 [7440 B] Get:59 http://ftpmaster.internal/ubuntu/ raring-security/main libxi6 i386 2:1.6.99.1-0ubuntu3.1 [32.2 kB] Get:60 http://ftpmaster.internal/ubuntu/ raring-security/main libxinerama1 i386 2:1.1.2-1ubuntu0.13.04.1 [8230 B] Get:61 http://ftpmaster.internal/ubuntu/ raring-security/main libxrandr2 i386 2:1.4.0-1ubuntu1.1 [19.2 kB] Get:62 http://ftpmaster.internal/ubuntu/ raring/main shared-mime-info i386 1.1-0ubuntu2 [411 kB] Get:63 http://ftpmaster.internal/ubuntu/ raring/main libgtk2.0-0 i386 2.24.17-0ubuntu2 [1719 kB] Get:64 http://ftpmaster.internal/ubuntu/ raring-security/main libpython2.7-minimal i386 2.7.4-2ubuntu3.2 [501 kB] Get:65 http://ftpmaster.internal/ubuntu/ raring/main mime-support all 3.52-2ubuntu1 [30.5 kB] Get:66 http://ftpmaster.internal/ubuntu/ raring-security/main libpython2.7-stdlib i386 2.7.4-2ubuntu3.2 [2350 kB] Get:67 http://ftpmaster.internal/ubuntu/ raring-security/main libpython2.7 i386 2.7.4-2ubuntu3.2 [1230 kB] Get:68 http://ftpmaster.internal/ubuntu/ raring/main libexpat1-dev i386 2.1.0-2 [205 kB] Get:69 http://ftpmaster.internal/ubuntu/ raring-security/main libpython2.7-dev i386 2.7.4-2ubuntu3.2 [23.9 MB] Get:70 http://ftpmaster.internal/ubuntu/ raring/main x11-common all 1:7.7+1ubuntu4 [58.1 kB] Get:71 http://ftpmaster.internal/ubuntu/ raring/main libxss1 i386 1:1.2.2-1 [8566 B] Get:72 http://ftpmaster.internal/ubuntu/ raring/main tcl8.5-lib i386 8.5.13-1ubuntu4 [544 kB] Get:73 http://ftpmaster.internal/ubuntu/ raring/main tk8.5-lib i386 8.5.11-2ubuntu4 [560 kB] Get:74 http://ftpmaster.internal/ubuntu/ raring/main file i386 5.11-2ubuntu4 [18.0 kB] Get:75 http://ftpmaster.internal/ubuntu/ raring/main gettext-base i386 0.18.1.1-10ubuntu3 [55.0 kB] Get:76 http://ftpmaster.internal/ubuntu/ raring/main xml-core all 0.13+nmu2 [23.3 kB] Get:77 http://ftpmaster.internal/ubuntu/ raring-security/main python2.7-minimal i386 2.7.4-2ubuntu3.2 [1181 kB] Get:78 http://ftpmaster.internal/ubuntu/ raring-security/main python2.7 i386 2.7.4-2ubuntu3.2 [262 kB] Get:79 http://ftpmaster.internal/ubuntu/ raring/main python-minimal i386 2.7.4-0ubuntu1 [30.2 kB] Get:80 http://ftpmaster.internal/ubuntu/ raring/main libpython-stdlib i386 2.7.4-0ubuntu1 [7544 B] Get:81 http://ftpmaster.internal/ubuntu/ raring/main python i386 2.7.4-0ubuntu1 [168 kB] Get:82 http://ftpmaster.internal/ubuntu/ raring/main cython i386 0.17.4-0ubuntu1 [1379 kB] Get:83 http://ftpmaster.internal/ubuntu/ raring/main html2text i386 1.3.2a-15ubuntu3 [91.2 kB] Get:84 http://ftpmaster.internal/ubuntu/ raring/main libasprintf-dev i386 0.18.1.1-10ubuntu3 [4396 B] Get:85 http://ftpmaster.internal/ubuntu/ raring/main libgettextpo-dev i386 0.18.1.1-10ubuntu3 [149 kB] Get:86 http://ftpmaster.internal/ubuntu/ raring/main gettext i386 0.18.1.1-10ubuntu3 [990 kB] Get:87 http://ftpmaster.internal/ubuntu/ raring/main intltool-debian all 0.35.0+20060710.1 [31.6 kB] Get:88 http://ftpmaster.internal/ubuntu/ raring/main po-debconf all 1.0.16+nmu2ubuntu1 [210 kB] Get:89 http://ftpmaster.internal/ubuntu/ raring/main dh-apparmor all 2.8.0-0ubuntu11 [8392 B] Get:90 http://ftpmaster.internal/ubuntu/ raring/main debhelper all 9.20120909ubuntu1 [631 kB] Get:91 http://ftpmaster.internal/ubuntu/ raring/main docutils-common all 0.10-1ubuntu3 [161 kB] Get:92 http://ftpmaster.internal/ubuntu/ raring/universe fonts-lyx all 2.0.3-3 [151 kB] Get:93 http://ftpmaster.internal/ubuntu/ raring/main python-configobj all 4.7.2+ds-4 [234 kB] Get:94 http://ftpmaster.internal/ubuntu/ raring/main python-decorator all 3.3.3-1 [19.9 kB] Get:95 http://ftpmaster.internal/ubuntu/ raring/main python-pexpect all 2.4-1 [122 kB] Get:96 http://ftpmaster.internal/ubuntu/ raring/universe python-simplegeneric all 0.8.1-1 [11.5 kB] Get:97 http://ftpmaster.internal/ubuntu/ raring/universe ipython all 0.13.2-1 [667 kB] Get:98 http://ftpmaster.internal/ubuntu/ raring/main libamd2.2.0 i386 1:3.4.0-3ubuntu1 [19.7 kB] Get:99 http://ftpmaster.internal/ubuntu/ raring/main libblas3 i386 1.2.20110419-5 [205 kB] Get:100 http://ftpmaster.internal/ubuntu/ raring/main libjs-jquery all 1.7.2+debian-1ubuntu1 [115 kB] Get:101 http://ftpmaster.internal/ubuntu/ raring/main libjs-underscore all 1.4.3-1ubuntu1 [44.5 kB] Get:102 http://ftpmaster.internal/ubuntu/ raring/main libjs-sphinxdoc all 1.1.3+dfsg-7ubuntu2 [45.9 kB] Get:103 http://ftpmaster.internal/ubuntu/ raring/main liblapack3 i386 3.4.2-1~exp3 [3309 kB] Get:104 http://ftpmaster.internal/ubuntu/ raring/main libpython-dev i386 2.7.4-0ubuntu1 [7632 B] Get:105 http://ftpmaster.internal/ubuntu/ raring/main libpython-all-dev i386 2.7.4-0ubuntu1 [942 B] Get:106 http://ftpmaster.internal/ubuntu/ raring/main libumfpack5.4.0 i386 1:3.4.0-3ubuntu1 [310 kB] Get:107 http://ftpmaster.internal/ubuntu/ raring/main python-all i386 2.7.4-0ubuntu1 [926 B] Get:108 http://ftpmaster.internal/ubuntu/ raring-security/main python2.7-dev i386 2.7.4-2ubuntu3.2 [275 kB] Get:109 http://ftpmaster.internal/ubuntu/ raring/main python-dev i386 2.7.4-0ubuntu1 [1134 B] Get:110 http://ftpmaster.internal/ubuntu/ raring/main python-all-dev i386 2.7.4-0ubuntu1 [944 B] Get:111 http://ftpmaster.internal/ubuntu/ raring/main python-dateutil all 1.5+dfsg-0.1 [54.4 kB] Get:112 http://ftpmaster.internal/ubuntu/ raring/main python-roman all 1.4.0-1ubuntu1 [7300 B] Get:113 http://ftpmaster.internal/ubuntu/ raring/main python-docutils all 0.10-1ubuntu3 [420 kB] Get:114 http://ftpmaster.internal/ubuntu/ raring/main python-markupsafe i386 0.15-1build3 [13.8 kB] Get:115 http://ftpmaster.internal/ubuntu/ raring/main python-jinja2 i386 2.6-1build3 [158 kB] Get:116 http://ftpmaster.internal/ubuntu/ raring/universe python-matplotlib-data all 1.2.1-0ubuntu1 [2861 kB] Get:117 http://ftpmaster.internal/ubuntu/ raring/main python-pyparsing all 1.5.7+dfsg1-0ubuntu2 [39.0 kB] Get:118 http://ftpmaster.internal/ubuntu/ raring/main python-tz all 2012c-1 [37.2 kB] Get:119 http://ftpmaster.internal/ubuntu/ raring/main python-numpy i386 1:1.7.1-1ubuntu1 [2017 kB] Get:120 http://ftpmaster.internal/ubuntu/ raring/universe python-support all 1.0.15 [26.7 kB] Get:121 http://ftpmaster.internal/ubuntu/ raring/main tcl8.5 i386 8.5.13-1ubuntu4 [566 kB] Get:122 http://ftpmaster.internal/ubuntu/ raring/main tk8.5 i386 8.5.11-2ubuntu4 [445 kB] Get:123 http://ftpmaster.internal/ubuntu/ raring/universe python-matplotlib i386 1.2.1-0ubuntu1 [1939 kB] Get:124 http://ftpmaster.internal/ubuntu/ raring/main python-pkg-resources all 0.6.34-0ubuntu1 [63.8 kB] Get:125 http://ftpmaster.internal/ubuntu/ raring/main python-nose all 1.1.2-3ubuntu4 [135 kB] Get:126 http://ftpmaster.internal/ubuntu/ raring/main python-pygments all 1.6+dfsg-1 [529 kB] Get:127 http://ftpmaster.internal/ubuntu/ raring/main python-setuptools all 0.6.34-0ubuntu1 [454 kB] Get:128 http://ftpmaster.internal/ubuntu/ raring/main sphinx-common all 1.1.3+dfsg-7ubuntu2 [420 kB] Get:129 http://ftpmaster.internal/ubuntu/ raring/main python-sphinx all 1.1.3+dfsg-7ubuntu2 [317 kB] Get:130 http://ftpmaster.internal/ubuntu/ raring/universe python-scipy i386 0.11.0+dfsg1-1ubuntu2 [7071 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 77.0 MB in 7s (10.9 MB/s) 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Setting up tk8.5-lib:i386 (8.5.11-2ubuntu4) ... Setting up file (5.11-2ubuntu4) ... Setting up gettext-base (0.18.1.1-10ubuntu3) ... Setting up xml-core (0.13+nmu2) ... Setting up python2.7-minimal (2.7.4-2ubuntu3.2) ... Linking and byte-compiling packages for runtime python2.7... Setting up python2.7 (2.7.4-2ubuntu3.2) ... Setting up python-minimal (2.7.4-0ubuntu1) ... Setting up libpython-stdlib:i386 (2.7.4-0ubuntu1) ... Setting up python (2.7.4-0ubuntu1) ... Setting up cython (0.17.4-0ubuntu1) ... Setting up html2text (1.3.2a-15ubuntu3) ... Setting up libasprintf-dev:i386 (0.18.1.1-10ubuntu3) ... Setting up libgettextpo-dev:i386 (0.18.1.1-10ubuntu3) ... Setting up gettext (0.18.1.1-10ubuntu3) ... Setting up intltool-debian (0.35.0+20060710.1) ... Setting up po-debconf (1.0.16+nmu2ubuntu1) ... Setting up dh-apparmor (2.8.0-0ubuntu11) ... Setting up debhelper (9.20120909ubuntu1) ... Setting up fonts-lyx (2.0.3-3) ... Setting up python-configobj (4.7.2+ds-4) ... Setting up python-decorator (3.3.3-1) ... Setting up python-pexpect (2.4-1) ... Setting up python-simplegeneric (0.8.1-1) ... Setting up ipython (0.13.2-1) ... Setting up libamd2.2.0 (1:3.4.0-3ubuntu1) ... Setting up libblas3 (1.2.20110419-5) ... update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode Setting up libjs-jquery (1.7.2+debian-1ubuntu1) ... Setting up libjs-underscore (1.4.3-1ubuntu1) ... Setting up libjs-sphinxdoc (1.1.3+dfsg-7ubuntu2) ... Setting up liblapack3 (3.4.2-1~exp3) ... update-alternatives: using /usr/lib/lapack/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode Setting up libpython-dev:i386 (2.7.4-0ubuntu1) ... Setting up libpython-all-dev:i386 (2.7.4-0ubuntu1) ... Setting up libumfpack5.4.0 (1:3.4.0-3ubuntu1) ... Setting up python-all (2.7.4-0ubuntu1) ... Setting up python2.7-dev (2.7.4-2ubuntu3.2) ... Setting up python-dev (2.7.4-0ubuntu1) ... 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Setting up python-docutils (0.10-1ubuntu3) ... update-alternatives: using /usr/share/docutils/scripts/python2/rst-buildhtml to provide /usr/bin/rst-buildhtml (rst-buildhtml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2html to provide /usr/bin/rst2html (rst2html) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2latex to provide /usr/bin/rst2latex (rst2latex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2man to provide /usr/bin/rst2man (rst2man) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2odt to provide /usr/bin/rst2odt (rst2odt) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2odt_prepstyles to provide /usr/bin/rst2odt_prepstyles (rst2odt_prepstyles) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2pseudoxml to provide /usr/bin/rst2pseudoxml (rst2pseudoxml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2s5 to provide /usr/bin/rst2s5 (rst2s5) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2xetex to provide /usr/bin/rst2xetex (rst2xetex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rst2xml to provide /usr/bin/rst2xml (rst2xml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python2/rstpep2html to provide /usr/bin/rstpep2html (rstpep2html) in auto mode Setting up python-sphinx (1.1.3+dfsg-7ubuntu2) ... Processing triggers for libc-bin ... ldconfig deferred processing now taking place Processing triggers for python-support ... Checking correctness of source dependencies... Toolchain package versions: libc6-dev_2.17-0ubuntu5.1 make_3.81-8.2ubuntu2 dpkg-dev_1.16.10ubuntu1 gcc-4.7_4.7.3-1ubuntu1 g++-4.7_4.7.3-1ubuntu1 binutils_2.23.2-2ubuntu1 libstdc++6-4.7-dev_4.7.3-1ubuntu1 libstdc++6_4.7.3-1ubuntu1 ------------------------------------------------------------------------------ dpkg-source: warning: -sn is not a valid option for Dpkg::Source::Package::V3::native dpkg-source: warning: extracting unsigned source package (statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1.dsc) dpkg-source: info: extracting statsmodels in statsmodels-0.6.0~ppa18~revno dpkg-source: info: unpacking statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1.tar.gz dpkg-buildpackage: source package statsmodels dpkg-buildpackage: source version 0.6.0~ppa18~revno-1505~ubuntu13.04.1 dpkg-source --before-build statsmodels-0.6.0~ppa18~revno dpkg-buildpackage: host architecture i386 /usr/bin/fakeroot debian/rules clean dh clean dh_testdir dh_auto_clean running clean debian/rules override_dh_clean /usr/lib/python2.7/dist-packages/IPython/utils/path.py:296: UserWarning: IPython parent '/build/buildd/statsmodels-0.6.0~ppa18~revno/build' is not a writable location, using a temp directory. " using a temp directory."%parent) make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_clean rm -rf build *-stamp *.egg-info docs/source/generated : # Remove autogenerated version.py rm -f statsmodels/version.py rm -f doc-stamp make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules build dh build dh_testdir debian/rules override_dh_auto_configure /usr/lib/python2.7/dist-packages/IPython/utils/path.py:296: UserWarning: IPython parent '/build/buildd/statsmodels-0.6.0~ppa18~revno/build' is not a writable location, using a temp directory. " using a temp directory."%parent) make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dpkg --compare-versions lt 0.15.1 && { \ echo "I: Using pre-Cython-ed files"; \ find -iname *pyx | while read p; do \ f=$(basename $p); f=${f%%.pyx}; d=$(dirname $p); \ cp -rp debian/cythonized-files/$f.c $d/; done; } || : dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use `dselect' or `aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through `less' or `more' ! dh_auto_configure make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_auto_build /usr/lib/python2.7/dist-packages/IPython/utils/path.py:296: UserWarning: IPython parent '/build/buildd/statsmodels-0.6.0~ppa18~revno/build' is not a writable location, using a temp directory. " using a temp directory."%parent) make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_auto_build running build running build_py creating build creating build/lib.linux-i686-2.7 creating build/lib.linux-i686-2.7/statsmodels copying statsmodels/__init__.py -> build/lib.linux-i686-2.7/statsmodels copying statsmodels/info.py -> build/lib.linux-i686-2.7/statsmodels copying statsmodels/version.py -> build/lib.linux-i686-2.7/statsmodels copying statsmodels/api.py -> build/lib.linux-i686-2.7/statsmodels creating build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/cox.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/descstats.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/rls.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/bspline.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/infotheo.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/multilinear.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/mle.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/km_class.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/contrast_old.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/survival.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/survival2.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/gam.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/formula.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/sysreg.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/utils_old.py -> build/lib.linux-i686-2.7/statsmodels/sandbox copying statsmodels/sandbox/pca.py -> build/lib.linux-i686-2.7/statsmodels/sandbox creating build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/counter.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/__init__.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/iter_compat.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/ordereddict.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/np_compat.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/collections.py -> build/lib.linux-i686-2.7/statsmodels/compatnp copying statsmodels/compatnp/py3k.py -> build/lib.linux-i686-2.7/statsmodels/compatnp creating build/lib.linux-i686-2.7/statsmodels/formula copying statsmodels/formula/formulatools.py -> build/lib.linux-i686-2.7/statsmodels/formula copying statsmodels/formula/__init__.py -> build/lib.linux-i686-2.7/statsmodels/formula copying statsmodels/formula/api.py -> build/lib.linux-i686-2.7/statsmodels/formula creating build/lib.linux-i686-2.7/statsmodels/distributions copying statsmodels/distributions/__init__.py -> build/lib.linux-i686-2.7/statsmodels/distributions copying statsmodels/distributions/empirical_distribution.py -> build/lib.linux-i686-2.7/statsmodels/distributions copying statsmodels/distributions/mixture_rvs.py -> build/lib.linux-i686-2.7/statsmodels/distributions creating build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/tests/rmodelwrap.py -> build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/tests/coverage_sm.py -> build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/tests/check_for_rpy.py -> build/lib.linux-i686-2.7/statsmodels/tests creating build/lib.linux-i686-2.7/statsmodels/discrete copying statsmodels/discrete/__init__.py -> build/lib.linux-i686-2.7/statsmodels/discrete copying statsmodels/discrete/discrete_margins.py -> build/lib.linux-i686-2.7/statsmodels/discrete copying statsmodels/discrete/discrete_model.py -> build/lib.linux-i686-2.7/statsmodels/discrete creating build/lib.linux-i686-2.7/statsmodels/resampling copying statsmodels/resampling/__init__.py -> build/lib.linux-i686-2.7/statsmodels/resampling creating build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/data.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/__init__.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/l1_slsqp.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/model.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/wrapper.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/l1_solvers_common.py -> build/lib.linux-i686-2.7/statsmodels/base copying statsmodels/base/l1_cvxopt.py -> build/lib.linux-i686-2.7/statsmodels/base creating build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/parallel.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/data.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/grouputils.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/rootfinding.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/print_version.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/sm_exceptions.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/wrappers.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/tools.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/compatibility.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/decorators.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/catadd.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/eval_measures.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/dump2module.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/numdiff.py -> build/lib.linux-i686-2.7/statsmodels/tools copying statsmodels/tools/linalg.py -> build/lib.linux-i686-2.7/statsmodels/tools creating build/lib.linux-i686-2.7/statsmodels/interface copying statsmodels/interface/__init__.py -> build/lib.linux-i686-2.7/statsmodels/interface creating build/lib.linux-i686-2.7/statsmodels/genmod copying statsmodels/genmod/__init__.py -> build/lib.linux-i686-2.7/statsmodels/genmod copying statsmodels/genmod/generalized_linear_model.py -> build/lib.linux-i686-2.7/statsmodels/genmod creating build/lib.linux-i686-2.7/statsmodels/regression copying statsmodels/regression/linear_model.py -> build/lib.linux-i686-2.7/statsmodels/regression copying statsmodels/regression/__init__.py -> build/lib.linux-i686-2.7/statsmodels/regression copying statsmodels/regression/quantile_regression.py -> build/lib.linux-i686-2.7/statsmodels/regression copying statsmodels/regression/feasible_gls.py -> build/lib.linux-i686-2.7/statsmodels/regression creating build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/functional.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/plottools.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/tsaplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/__init__.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/regressionplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/tukeyplot.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/mosaicplot.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/utils.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/correlation.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/plot_grids.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/factorplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/gofplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/api.py -> build/lib.linux-i686-2.7/statsmodels/graphics copying statsmodels/graphics/boxplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics creating build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/__init__.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/try_mlecov.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/count.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/tmodel.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/api.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/nonlinls.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels creating build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/anova.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/__init__.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/base.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/descriptivestats.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/sandwich_covariance.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/adnorm.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/power.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/gof.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/correlation_tools.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/outliers_influence.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/multitest.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/inter_rater.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/contrast.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/tabledist.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/multicomp.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/api.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/weightstats.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/moment_helpers.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/diagnostic.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/stattools.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/proportion.py -> build/lib.linux-i686-2.7/statsmodels/stats copying statsmodels/stats/lilliefors.py -> build/lib.linux-i686-2.7/statsmodels/stats creating build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/varma_process.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/arima_model.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/arima_process.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/setup.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/descriptivestats.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/tsatools.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/mlemodel.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/ar_model.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/adfvalues.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/arma_mle.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/api.py -> build/lib.linux-i686-2.7/statsmodels/tsa copying statsmodels/tsa/stattools.py -> build/lib.linux-i686-2.7/statsmodels/tsa creating build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/summary.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/foreign.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/smpickle.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/__init__.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/tableformatting.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/stata_summary_examples.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/table.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/summary2.py -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/iolib/api.py -> build/lib.linux-i686-2.7/statsmodels/iolib creating build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/__init__.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/koul_and_mc.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/elanova.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/elregress.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/aft_el.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/descriptive.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/originregress.py -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/emplike/api.py -> build/lib.linux-i686-2.7/statsmodels/emplike creating build/lib.linux-i686-2.7/statsmodels/robust copying statsmodels/robust/norms.py -> build/lib.linux-i686-2.7/statsmodels/robust copying statsmodels/robust/scale.py -> build/lib.linux-i686-2.7/statsmodels/robust copying statsmodels/robust/__init__.py -> build/lib.linux-i686-2.7/statsmodels/robust copying statsmodels/robust/robust_linear_model.py -> build/lib.linux-i686-2.7/statsmodels/robust creating build/lib.linux-i686-2.7/statsmodels/datasets copying statsmodels/datasets/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets copying statsmodels/datasets/template_data.py -> build/lib.linux-i686-2.7/statsmodels/datasets copying statsmodels/datasets/utils.py -> build/lib.linux-i686-2.7/statsmodels/datasets creating build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/__init__.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/_kernel_base.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernels.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_density.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kdetools.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess_old.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/bandwidths.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_regression.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/api.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kde.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric creating build/lib.linux-i686-2.7/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/factormodels.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/datarich creating build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/estimators.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transformed.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/otherdist.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/genpareto.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/multivariate.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/extras.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/gof_new.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/copula.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_measures.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/sppatch.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_max.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/quantize.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_pot.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_normal.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transform_functions.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions creating build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/maketests_mlabwrap.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/model_results.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/datamlw.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_pca.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_formula.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_gam.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/savervs.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests creating build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/arma.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate creating build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/tools_pca.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/mctools.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/cross_val.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/try_mctools.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools creating build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panel_short.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/correlation_structures.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/mixed.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/sandwich_covariance.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/sandwich_covariance_generic.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/random_panel.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panelmod.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel creating build/lib.linux-i686-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_decomp_1.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_covmat.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/tsa.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/archive creating build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/kernridgeregress_class.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_treewalker.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_ols_anova.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/penalized.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ar_panel.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/predstd.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/runmnl.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/anova_nistcertified.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/tools.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/onewaygls.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/treewalkerclass.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/sympy_diff.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_catdata.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ols_anova_original.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/example_kernridge.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/gmm.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression creating build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/runs.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/ex_newtests.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_mstats_short.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/contrast_tools.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_dhuard.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/multicomp.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/diagnostic.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats creating build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_arma_more.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/garch.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/varma.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/movstat.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/fftarma.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_var_convolve.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/example_arma.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion2.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_fi.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa creating build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/testdata.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernels.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/densityorthopoly.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernel_extras.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kde2.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/dgp_examples.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/smoothers.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kdecovclass.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric creating build/lib.linux-i686-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/test_collections.py -> build/lib.linux-i686-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/test_itercompat.py -> build/lib.linux-i686-2.7/statsmodels/compatnp/tests creating build/lib.linux-i686-2.7/statsmodels/formula/tests copying statsmodels/formula/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/formula/tests copying statsmodels/formula/tests/test_formula.py -> build/lib.linux-i686-2.7/statsmodels/formula/tests creating build/lib.linux-i686-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_mixture.py -> build/lib.linux-i686-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_ecdf.py -> build/lib.linux-i686-2.7/statsmodels/distributions/tests creating build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tests/results creating build/lib.linux-i686-2.7/statsmodels/discrete/tests copying statsmodels/discrete/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_discrete.py -> build/lib.linux-i686-2.7/statsmodels/discrete/tests creating build/lib.linux-i686-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_shrink_pickle.py -> build/lib.linux-i686-2.7/statsmodels/base/tests copying statsmodels/base/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_generic_methods.py -> build/lib.linux-i686-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_optimize.py -> build/lib.linux-i686-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_data.py -> build/lib.linux-i686-2.7/statsmodels/base/tests creating build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_numdiff.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_rootfinding.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_catadd.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_parallel.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_tools.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_eval_measures.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_data.py -> build/lib.linux-i686-2.7/statsmodels/tools/tests creating build/lib.linux-i686-2.7/statsmodels/genmod/tests copying statsmodels/genmod/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_glm.py -> build/lib.linux-i686-2.7/statsmodels/genmod/tests creating build/lib.linux-i686-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/__init__.py -> build/lib.linux-i686-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/links.py -> build/lib.linux-i686-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/family.py -> build/lib.linux-i686-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/varfuncs.py -> build/lib.linux-i686-2.7/statsmodels/genmod/families creating build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_cov.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_stata.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_gretl.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/results_quantile_regression.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_robustcov.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_quantile_regression.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_regression.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests creating build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_factorplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_tsaplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_boxplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_mosaicplot.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_functional.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_correlation.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_gofplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_regressionplots.py -> build/lib.linux-i686-2.7/statsmodels/graphics/tests creating build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/results_tmodel.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_tmodel.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_generic_mle.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_poisson.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_tarma.py -> build/lib.linux-i686-2.7/statsmodels/miscmodels/tests creating build/lib.linux-i686-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/__init__.py -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/make_tbls.py -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/qsturng_.py -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng creating build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_anova.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_contrast.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_descriptivestats.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_tost.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_sandwich.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_statstools.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_weightstats.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_diagnostic.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_nonparametric.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_proportion.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_multi.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_qsturng.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_power.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_groups_sw.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_panel_robustcov.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_inter_rater.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_gof.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_moment_helpers.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_corrpsd.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_pairwise.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests creating build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_tsa_tools.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_adfuller_lag.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_arima_process.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_stattools.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_arima.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_ar.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests creating build/lib.linux-i686-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/datetools.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/tsa_model.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base creating build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/hp_filter.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/utils.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/filtertools.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/bk_filter.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/cf_filter.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters creating build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf copying statsmodels/tsa/kalmanf/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf copying statsmodels/tsa/kalmanf/kalmanfilter.py -> build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf creating build/lib.linux-i686-2.7/statsmodels/tsa/interp copying statsmodels/tsa/interp/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/interp copying statsmodels/tsa/interp/denton.py -> build/lib.linux-i686-2.7/statsmodels/tsa/interp creating build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/output.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/irf.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/svar_model.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/util.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/var_model.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/plotting.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/api.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/dynamic.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar creating build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary_old.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_foreign.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table_econpy.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_pickle.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests creating build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_anova.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_descriptive.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_aft.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_regression.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_origin.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests creating build/lib.linux-i686-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/test_scale.py -> build/lib.linux-i686-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/test_rlm.py -> build/lib.linux-i686-2.7/statsmodels/robust/tests creating build/lib.linux-i686-2.7/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/cancer creating build/lib.linux-i686-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/committee creating build/lib.linux-i686-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/strikes creating build/lib.linux-i686-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard creating build/lib.linux-i686-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland creating build/lib.linux-i686-2.7/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/anes96 creating build/lib.linux-i686-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/stackloss creating build/lib.linux-i686-2.7/statsmodels/datasets/spector copying statsmodels/datasets/spector/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/spector copying statsmodels/datasets/spector/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/spector creating build/lib.linux-i686-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots creating build/lib.linux-i686-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/test_utils.py -> build/lib.linux-i686-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/tests creating build/lib.linux-i686-2.7/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/elnino creating build/lib.linux-i686-2.7/statsmodels/datasets/nile copying statsmodels/datasets/nile/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/nile copying statsmodels/datasets/nile/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/nile creating build/lib.linux-i686-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/star98 creating build/lib.linux-i686-2.7/statsmodels/datasets/modechoice copying statsmodels/datasets/modechoice/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/modechoice copying statsmodels/datasets/modechoice/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/modechoice creating build/lib.linux-i686-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata creating build/lib.linux-i686-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/cpunish creating build/lib.linux-i686-2.7/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/randhie creating build/lib.linux-i686-2.7/statsmodels/datasets/heart copying statsmodels/datasets/heart/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/heart copying statsmodels/datasets/heart/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/heart creating build/lib.linux-i686-2.7/statsmodels/datasets/copper copying statsmodels/datasets/copper/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/copper copying statsmodels/datasets/copper/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/copper creating build/lib.linux-i686-2.7/statsmodels/datasets/engel copying statsmodels/datasets/engel/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/engel copying statsmodels/datasets/engel/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/engel creating build/lib.linux-i686-2.7/statsmodels/datasets/fair copying statsmodels/datasets/fair/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/fair copying statsmodels/datasets/fair/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/fair creating build/lib.linux-i686-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/longley creating build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld creating build/lib.linux-i686-2.7/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/data.py -> build/lib.linux-i686-2.7/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/__init__.py -> build/lib.linux-i686-2.7/statsmodels/datasets/statecrime creating build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kde.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_density.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_lowess.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_regression.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests creating build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/testtransf.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/distparams.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_multivariate.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/_est_fit.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/check_moments.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_extras.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests creating build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_transf2.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_gof.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/matchdist.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_fitfr.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples creating build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/test_random_panel.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests creating build/lib.linux-i686-2.7/statsmodels/sandbox/stats/tests copying statsmodels/sandbox/stats/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats/tests creating build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests creating build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_discrete.py -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results creating build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/results_glm.py -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/glm_test_resids.py -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results creating build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/macro_gr_corc_stata.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_regression.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_macro_ols_robust.py -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results creating build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/test_qsturng.py -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests creating build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_power.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_panelrobust.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_proportion.py -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results creating build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_process.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/make_arma.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/datamlw_tls.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/savedrvs.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_css_results.py -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results creating build/lib.linux-i686-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_base.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_datetools.py -> build/lib.linux-i686-2.7/statsmodels/tsa/base/tests creating build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/test_filters.py -> build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests creating build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/test_denton.py -> build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests creating build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_svar.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/example_svar.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_var.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests creating build/lib.linux-i686-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/macrodata.py -> build/lib.linux-i686-2.7/statsmodels/iolib/tests/results creating build/lib.linux-i686-2.7/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/el_results.py -> build/lib.linux-i686-2.7/statsmodels/emplike/tests/results creating build/lib.linux-i686-2.7/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/results_rlm.py -> build/lib.linux-i686-2.7/statsmodels/robust/tests/results creating build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results creating build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/__init__.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_svar.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var.py -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results package init file 'statsmodels/tsa/vector_ar/data/__init__.py' not found (or not a regular file) running egg_info creating statsmodels.egg-info writing statsmodels.egg-info/PKG-INFO writing top-level names to statsmodels.egg-info/top_level.txt writing dependency_links to statsmodels.egg-info/dependency_links.txt writing manifest file 'statsmodels.egg-info/SOURCES.txt' reading manifest file 'statsmodels.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no previously-included files matching '*' found under directory 'dist' warning: no previously-included files found matching 'docs/source/generated/*' warning: no previously-included files matching '*' found under directory 'docs/build' warning: no previously-included files matching '*' found under directory 'docs/build/htmlhelp' warning: no files found matching 'statsmodels/statsmodelsdoc.chm' warning: no files found matching 'statsmodels/sandbox/panel/test_data.txt' warning: no files found matching 'statsmodels/stats/libqsturng/tests/results/*' warning: no files found matching 'statsmodels/stats/libqsturng/tests/bootleg.csv' warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution warning: no previously-included files matching '*.pyc' found anywhere in distribution warning: no previously-included files matching '*.bak' found anywhere in distribution writing manifest file 'statsmodels.egg-info/SOURCES.txt' copying statsmodels/LICENSE.txt -> build/lib.linux-i686-2.7/statsmodels copying statsmodels/TODO.txt -> build/lib.linux-i686-2.7/statsmodels creating build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/es_misc_poisson2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_arch_canada.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_1.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_3.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_feasible_gls_het.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_feasible_gls_het_0.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle_t.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle_tdist.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_grangercausality.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_inter_rater.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression3.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_censored2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_dgp.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_sigtest.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_semilinear_dgp.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_singleindex_dgp.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_test_functional.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_test_functional_li_wang.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_lowess.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_misc_tarma.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_misc_tmodel.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_multivar_kde.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_nearest_corr.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_ols_robustcov.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_outliers_influence.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_pairwise.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_pandas.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_pareto_plot.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_proportion.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_regressionplots.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_rootfinding.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich3.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_scatter_ellipse.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_shrink_pickle.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/ex_univar_kde.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_discrete_mnl.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_enhanced_boxplots.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_functional_plots.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_kde.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_ols_minimal_comp.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/example_rpy.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/run_all.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/t_est_rlm.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_2regress.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_gof_chisquare.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_polytrend.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_power.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_power2.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/try_tukey_hsd.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/tut_ols_ancova.py -> build/lib.linux-i686-2.7/statsmodels/examples copying statsmodels/examples/tut_ols_rlm_short.py -> build/lib.linux-i686-2.7/statsmodels/examples creating build/lib.linux-i686-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/demo.py -> build/lib.linux-i686-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/short_demo.py -> build/lib.linux-i686-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/sklearn_compare.py -> build/lib.linux-i686-2.7/statsmodels/examples/l1_demo creating build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ar1cholesky.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/arma_plots.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/compare_arma.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_arma.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_arma_all.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_coint.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_var.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_var_reorder.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/lagpolynomial.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/try_ar.py -> build/lib.linux-i686-2.7/statsmodels/examples/tsa copying statsmodels/sandbox/rlsdata.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox creating build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/bayesprior.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/dji_table.csv -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_cusum.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_formula.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_formula_factor.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_gam_results.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_kaplan_meier.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_0.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_re.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_onewaygls.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_random_panel.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_crossval.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_gam.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_gam_0.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_garch.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_maxent.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_mle.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_nbin.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_pca.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_pca_regression.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_sysreg.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/gspc_table.csv -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/run_all.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_multiols.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_quantile_regression.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_quantile_regression1.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_smoothers.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples creating build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/findow_0.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/findow_1.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/try_interchange.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/tests/R_ig.s -> build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/tests/R_lbw.s -> build/lib.linux-i686-2.7/statsmodels/tests copying statsmodels/iolib/notes_table_update.txt -> build/lib.linux-i686-2.7/statsmodels/iolib copying statsmodels/emplike/heartdata.csv -> build/lib.linux-i686-2.7/statsmodels/emplike copying statsmodels/datasets/COPYING -> build/lib.linux-i686-2.7/statsmodels/datasets copying statsmodels/datasets/README.txt -> build/lib.linux-i686-2.7/statsmodels/datasets copying statsmodels/sandbox/tests/GreeneEx15_1.s -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/macrodata.s -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/sysreg.s -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_bspline.py.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/tools/TODO.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/regression/notes_runmnl.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression creating build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/AtmWtAg.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/Longley.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SiRstv.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs01.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs02.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs03.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs04.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs05.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs06.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs07.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs08.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs09.dat -> build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/stats/notes_fdr.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/tsa/notes_organize.txt -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa creating build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/ex_mle_arma.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/ex_mle_garch.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/example_var.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/try_ld_nitime.py -> build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/tests/results/cancer_resids.csv -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/cancerdata.csv -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/cancerident_resids.csv -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/gaussinvlink_resids.csv.xxx -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/gaussinvlinkdata.csv.xxx -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/tests/results/glm_gaussian_log_resid.csv.xxx -> build/lib.linux-i686-2.7/statsmodels/tests/results copying statsmodels/stats/libqsturng/CH.r -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/LICENSE.txt -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/tests/test_data.txt -> build/lib.linux-i686-2.7/statsmodels/stats/tests copying statsmodels/iolib/tests/stata_dates.csv -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_data.csv -> build/lib.linux-i686-2.7/statsmodels/iolib/tests copying statsmodels/datasets/cancer/cancer.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/cancer copying statsmodels/datasets/committee/R_committee.s -> build/lib.linux-i686-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/committee.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/committee creating build/lib.linux-i686-2.7/statsmodels/datasets/committee/src copying statsmodels/datasets/committee/src/committee.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/committee/src copying statsmodels/datasets/strikes/strikes.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/ccard/R_wls.s -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/ccard.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard creating build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/ccard/src/ccard.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/ccard/src/names.txt -> build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/scotland/R_scotvote.s -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/scotvote.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland creating build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland.readme -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_births.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_changes.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_devolution.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_econ_summary.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_economics.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_education.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_housing.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_population.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_population.html -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotvote.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotvote.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/anes96/anes96.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/anes96 creating build/lib.linux-i686-2.7/statsmodels/datasets/anes96/src copying statsmodels/datasets/anes96/src/anes96.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/anes96/src copying statsmodels/datasets/stackloss/R_stackloss.s -> build/lib.linux-i686-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/stackloss.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/spector/spector.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/spector copying statsmodels/datasets/sunspots/R_sunspots.s -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/arima_mod.R -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/sunspots.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots creating build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/sunspots/src/sunspots_monthly.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/sunspots/src/sunspots_yearly.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,csv,car,Duncan.csv.zip -> build/lib.linux-i686-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,datasets.csv.zip -> build/lib.linux-i686-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,doc,car,rst,Duncan.rst.zip -> build/lib.linux-i686-2.7/statsmodels/datasets/tests copying statsmodels/datasets/elnino/elnino.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/elnino creating build/lib.linux-i686-2.7/statsmodels/datasets/elnino/src copying statsmodels/datasets/elnino/src/elnino.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/elnino/src copying statsmodels/datasets/nile/nile.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/nile copying statsmodels/datasets/star98/r_glm.s -> build/lib.linux-i686-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/star98.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/star98 creating build/lib.linux-i686-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star.bi.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star98.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star98.names -> build/lib.linux-i686-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/modechoice/modechoice.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/modechoice creating build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/src copying statsmodels/datasets/modechoice/src/TableF18-2.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/src copying statsmodels/datasets/macrodata/macrodata.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/macrodata.dta -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata creating build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src copying statsmodels/datasets/macrodata/src/unemp.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src creating build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/macrodata.xls copying statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls -> build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/macrodata.xls copying statsmodels/datasets/cpunish/R_cpunish.s -> build/lib.linux-i686-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/cpunish.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/cpunish creating build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/src copying statsmodels/datasets/cpunish/src/cpunish.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/src copying statsmodels/datasets/randhie/randhie.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/randhie creating build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/randhie/src/randdesc.txt -> build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/randhie/src/randhie.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/heart/heart.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/heart copying statsmodels/datasets/copper/copper.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/copper creating build/lib.linux-i686-2.7/statsmodels/datasets/copper/src copying statsmodels/datasets/copper/src/copper.dat -> build/lib.linux-i686-2.7/statsmodels/datasets/copper/src copying statsmodels/datasets/engel/engel.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/engel copying statsmodels/datasets/fair/fair.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/fair creating build/lib.linux-i686-2.7/statsmodels/datasets/fair/src copying statsmodels/datasets/fair/src/1978ADAT.asc -> build/lib.linux-i686-2.7/statsmodels/datasets/fair/src copying statsmodels/datasets/longley/R_gls.s -> build/lib.linux-i686-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/R_lm.s -> build/lib.linux-i686-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/longley.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/longley copying statsmodels/datasets/grunfeld/grunfeld.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld creating build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/src copying statsmodels/datasets/grunfeld/src/grunfeld.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/src copying statsmodels/datasets/statecrime/statecrime.csv -> build/lib.linux-i686-2.7/statsmodels/datasets/statecrime copying statsmodels/nonparametric/tests/Xi_test_data.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests copying statsmodels/discrete/tests/results/mn_logit_summary.txt -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/mnlogit_resid.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/nbinom_resids.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/phat_mnlogit.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/poisson_resid.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/predict_prob_poisson.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_mnlogit.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_poisson.csv -> build/lib.linux-i686-2.7/statsmodels/discrete/tests/results copying statsmodels/genmod/tests/results/igaussident_resids.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/inv_gaussian.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/iris.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/medparlogresids.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_cancer_glm.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_lbw_glm.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> build/lib.linux-i686-2.7/statsmodels/genmod/tests/results copying statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> build/lib.linux-i686-2.7/statsmodels/regression/tests/results copying statsmodels/stats/libqsturng/tests/bootleg.dat -> build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/tests/results/bootleg.csv -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_lsdiag_R.json -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_R.csv -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_bool_R.csv -> build/lib.linux-i686-2.7/statsmodels/stats/tests/results copying statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_forecasts.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima212_forecast.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_c.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_nc.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_c.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_nc.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma_forecasts.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_corrgram.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/y_arma_data.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_c.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_nc.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_c.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_nc.csv -> build/lib.linux-i686-2.7/statsmodels/tsa/tests/results copying statsmodels/iolib/tests/results/data_missing.dta -> build/lib.linux-i686-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/macrodata.npy_ -> build/lib.linux-i686-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/time_series_examples.dta -> build/lib.linux-i686-2.7/statsmodels/iolib/tests/results copying statsmodels/nonparametric/tests/results/results_kde.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_fft.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_weights.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results copying statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results creating build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e1.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e2.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e3.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e4.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e5.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e6.dat -> build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data running build_ext cythoning statsmodels/tsa/kalmanf/kalman_loglike.pyx to statsmodels/tsa/kalmanf/kalman_loglike.c building 'statsmodels.tsa.kalmanf.kalman_loglike' extension creating build/temp.linux-i686-2.7 creating build/temp.linux-i686-2.7/statsmodels creating build/temp.linux-i686-2.7/statsmodels/tsa creating build/temp.linux-i686-2.7/statsmodels/tsa/kalmanf i686-linux-gnu-gcc -pthread -fno-strict-aliasing -g -O0 -g -O0 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c statsmodels/tsa/kalmanf/kalman_loglike.c -o build/temp.linux-i686-2.7/statsmodels/tsa/kalmanf/kalman_loglike.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from statsmodels/tsa/kalmanf/kalman_loglike.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] i686-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-i686-2.7/statsmodels/tsa/kalmanf/kalman_loglike.o -o build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/kalman_loglike.so cythoning statsmodels/nonparametric/_smoothers_lowess.pyx to statsmodels/nonparametric/_smoothers_lowess.c building 'statsmodels.nonparametric._smoothers_lowess' extension creating build/temp.linux-i686-2.7/statsmodels/nonparametric i686-linux-gnu-gcc -pthread -fno-strict-aliasing -g -O0 -g -O0 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c statsmodels/nonparametric/_smoothers_lowess.c -o build/temp.linux-i686-2.7/statsmodels/nonparametric/_smoothers_lowess.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from statsmodels/nonparametric/_smoothers_lowess.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] i686-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-i686-2.7/statsmodels/nonparametric/_smoothers_lowess.o -o build/lib.linux-i686-2.7/statsmodels/nonparametric/_smoothers_lowess.so cythoning statsmodels/nonparametric/linbin.pyx to statsmodels/nonparametric/linbin.c building 'statsmodels.nonparametric.linbin' extension i686-linux-gnu-gcc -pthread -fno-strict-aliasing -g -O0 -g -O0 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c statsmodels/nonparametric/linbin.c -o build/temp.linux-i686-2.7/statsmodels/nonparametric/linbin.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from statsmodels/nonparametric/linbin.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] i686-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-i686-2.7/statsmodels/nonparametric/linbin.o -o build/lib.linux-i686-2.7/statsmodels/nonparametric/linbin.so : # Hardcode backend to Agg to avoid doc build and tests failures echo "backend : Agg" >| /build/buildd/statsmodels-0.6.0~ppa18~revno/build/matplotlibrc make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_auto_test make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' : # overriden since testing happens against installed version across : # all supported python versions make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' /usr/bin/fakeroot debian/rules binary dh binary-arch dh_testroot -a dh_prep -a dh_installdirs -a debian/rules override_dh_auto_install make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' python2.7 setup.py install --install-layout=deb --root=debian/python-statsmodels running install running build running build_py copying statsmodels/version.py -> build/lib.linux-i686-2.7/statsmodels package init file 'statsmodels/tsa/vector_ar/data/__init__.py' not found (or not a regular file) running egg_info writing statsmodels.egg-info/PKG-INFO writing top-level names to statsmodels.egg-info/top_level.txt writing dependency_links to statsmodels.egg-info/dependency_links.txt reading manifest file 'statsmodels.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no previously-included files matching '*' found under directory 'dist' warning: no previously-included files found matching 'docs/source/generated/*' warning: no previously-included files matching '*' found under directory 'docs/build' warning: no previously-included files matching '*' found under directory 'docs/build/htmlhelp' warning: no files found matching 'statsmodels/statsmodelsdoc.chm' warning: no files found matching 'statsmodels/sandbox/panel/test_data.txt' warning: no files found matching 'statsmodels/stats/libqsturng/tests/results/*' warning: no files found matching 'statsmodels/stats/libqsturng/tests/bootleg.csv' warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution warning: no previously-included files matching '*.pyc' found anywhere in distribution warning: no previously-included files matching '*.bak' found anywhere in distribution writing manifest file 'statsmodels.egg-info/SOURCES.txt' running build_ext skipping 'statsmodels/tsa/kalmanf/kalman_loglike.c' Cython extension (up-to-date) skipping 'statsmodels/nonparametric/_smoothers_lowess.c' Cython extension (up-to-date) skipping 'statsmodels/nonparametric/linbin.c' Cython extension (up-to-date) running install_lib creating debian/python-statsmodels creating debian/python-statsmodels/usr creating debian/python-statsmodels/usr/lib creating debian/python-statsmodels/usr/lib/python2.7 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels copying build/lib.linux-i686-2.7/statsmodels/LICENSE.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/cox.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/rlsdata.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/descstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/rls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/bspline.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/datarich/factormodels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/datarich/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/infotheo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/multilinear.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/km_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/contrast_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/survival.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/estimators.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/transformed.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/otherdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/genpareto.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/multivariate.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/testtransf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/distparams.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/test_multivariate.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/_est_fit.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/check_moments.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/test_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/gof_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/copula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_transf2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/matchdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_fitfr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/mv_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/sppatch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/try_max.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/quantize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/try_pot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/mv_normal.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/transform_functions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/maketests_mlabwrap.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/model_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/GreeneEx15_1.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/datamlw.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_bspline.py.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/savervs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/macrodata.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/sysreg.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_gam_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/findow_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/try_interchange.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/findow_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_maxent.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_re.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_crossval.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_multiols.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_cusum.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_kaplan_meier.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_formula_factor.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/bayesprior.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/gspc_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_pca_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_nbin.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/dji_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_quantile_regression1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_gam_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/survival2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/tools_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/mctools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/TODO.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/cross_val.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/try_mctools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/panel_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/correlation_structures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/mixed.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests/test_random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/sandwich_covariance_generic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/panelmod.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/linalg_decomp_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/linalg_covmat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/tsa.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/kernridgeregress_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_treewalker.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_ols_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/penalized.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/ar_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/predstd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/runmnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/anova_nistcertified.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/treewalkerclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/sympy_diff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_catdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/ols_anova_original.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/example_kernridge.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/gmm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs03.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs04.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/Longley.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/AtmWtAg.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs05.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs01.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs08.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs09.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SiRstv.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs07.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs02.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs06.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/notes_runmnl.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/runs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/ex_newtests.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/stats_mstats_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/contrast_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/notes_fdr.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/stats_dhuard.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/utils_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_arma_more.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/varma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/movstat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/fftarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/notes_organize.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_var_convolve.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/example_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/diffusion2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/ex_mle_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/try_ld_nitime.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/ex_mle_garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/example_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/diffusion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_fi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/testdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/densityorthopoly.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kernel_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kde2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/dgp_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kdecovclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/counter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/iter_compat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/ordereddict.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/test_collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/test_itercompat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/np_compat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/py3k.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-i686-2.7/statsmodels/formula/formulatools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-i686-2.7/statsmodels/formula/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-i686-2.7/statsmodels/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/test_mixture.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/test_ecdf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/empirical_distribution.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-i686-2.7/statsmodels/distributions/mixture_rvs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/rmodelwrap.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/R_lbw.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/gaussinvlinkdata.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancer_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/gaussinvlink_resids.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/glm_gaussian_log_resid.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancerdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancerident_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/coverage_sm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/R_ig.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/check_for_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-i686-2.7/statsmodels/discrete/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/test_discrete.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/mnlogit_resid.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/poisson_resid.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/phat_mnlogit.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/nbinom_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/mn_logit_summary.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/results_discrete.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/predict_prob_poisson.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/yhat_mnlogit.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/yhat_poisson.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/discrete_margins.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-i686-2.7/statsmodels/discrete/discrete_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling copying build/lib.linux-i686-2.7/statsmodels/resampling/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_shrink_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_generic_methods.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_optimize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/l1_slsqp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/wrapper.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/l1_solvers_common.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/l1_cvxopt.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_arch_canada.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_misc_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_functional_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pandas.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_nearest_corr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_enhanced_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/tut_ols_ancova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_discrete_mnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_multivar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_tukey_hsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_test_functional_li_wang.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/t_est_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_univar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_sigtest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_feasible_gls_het.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_shrink_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_gof_chisquare.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_ols_minimal_comp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_ols_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_grangercausality.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_polytrend.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_power2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_feasible_gls_het_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_2regress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_semilinear_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/tut_ols_rlm_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle_tdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_singleindex_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_misc_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/arma_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/compare_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/try_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_var_reorder.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_arma_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/lagpolynomial.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_coint.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ar1cholesky.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/ex_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_censored2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/es_misc_poisson2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/sklearn_compare.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/demo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/short_demo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle_t.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_scatter_ellipse.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pareto_plot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/grouputils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/print_version.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_eval_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/sm_exceptions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/wrappers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/compatibility.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/decorators.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/eval_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/dump2module.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/linalg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/info.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface copying build/lib.linux-i686-2.7/statsmodels/interface/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod copying build/lib.linux-i686-2.7/statsmodels/genmod/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/igaussident_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_cancer_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_lbw_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/results_glm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/iris.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/glm_test_resids.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/inv_gaussian.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/medparlogresids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/test_glm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/links.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/family.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/varfuncs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/generalized_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod copying build/lib.linux-i686-2.7/statsmodels/version.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_cov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_glsar_stata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_glsar_gretl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/macro_gr_corc_stata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_macro_ols_robust.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/feasible_gls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/plottools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/tukeyplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_mosaicplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/mosaicplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/plot_grids.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/results_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_generic_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_poisson.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/try_mlecov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/count.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/nonlinls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/TODO.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/LICENSE.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/test_qsturng.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/bootleg.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/make_tbls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/CH.r -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/qsturng_.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_data.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_tost.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_statstools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_nonparametric.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_multi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_qsturng.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_measures_R.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_panelrobust.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_lsdiag_R.json -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/bootleg.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_measures_bool_R.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_groups_sw.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_panel_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_moment_helpers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_corrpsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/adnorm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/correlation_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/multitest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/tabledist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/moment_helpers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/lilliefors.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/varma_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arima_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arima_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/setup.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_tsa_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_adfuller_lag.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_arima_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_arima.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/make_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arma_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima212_forecast.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/datamlw_tls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_css_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_css_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_exact_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_corrgram.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_css_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/savedrvs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_exact_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_exact_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_exact_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_css_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/y_arma_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/test_base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/test_datetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/datetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tsa_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/tsatools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/hp_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests/test_filters.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/filtertools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/bk_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/cf_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/kalmanfilter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/kalman_loglike.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/mlemodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/ar_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/adfvalues.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arma_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests/test_denton.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/denton.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/output.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/irf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/test_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/example_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/test_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/svar_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/util.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/var_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/plotting.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/dynamic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e2.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e3.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e6.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e4.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e1.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e5.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/foreign.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/smpickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/tableformatting.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/stata_summary_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_summary_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_foreign.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/data_missing.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/macrodata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/macrodata.npy_ -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/time_series_examples.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/stata_dates.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_table_econpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/summary2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/notes_table_update.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/koul_and_mc.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/elanova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/heartdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/elregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_descriptive.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/results/el_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_aft.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_origin.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/aft_el.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/descriptive.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/originregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/norms.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/scale.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/results/results_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/test_scale.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/tests/test_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/robust_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/cancer.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/committee.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/src copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/src/committee.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/src copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/R_committee.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/strikes.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src/names.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src/ccard.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/ccard.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/R_wls.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/scotvote.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotvote.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland.readme -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_population.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotvote.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_births.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_education.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_population.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_devolution.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_econ_summary.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_changes.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_economics.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_housing.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/R_scotvote.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/src copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/src/anes96.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/src copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/anes96.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/stackloss.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/R_stackloss.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/spector.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src/sunspots_monthly.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src/sunspots_yearly.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/arima_mod.R -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/sunspots.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/R_sunspots.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/test_utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,doc,car,rst,Duncan.rst.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,csv,car,Duncan.csv.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,datasets.csv.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/src copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/src/elnino.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/src copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/elnino.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/nile.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star.bi.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star98.names -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star98.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/r_glm.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/star98.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/src copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/src/TableF18-2.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/src copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/modechoice.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/macrodata.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/unemp.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src/macrodata.xls copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src/macrodata.xls copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/macrodata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/template_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets copying build/lib.linux-i686-2.7/statsmodels/datasets/README.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets copying build/lib.linux-i686-2.7/statsmodels/datasets/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/src copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/src/cpunish.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/src copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/cpunish.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/R_cpunish.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src/randdesc.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src/randhie.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/randhie.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/heart.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/copper.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/src copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/src/copper.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/src copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/engel.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/COPYING -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/src copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/src/1978ADAT.asc -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/src copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/fair.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/R_lm.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/longley.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/R_gls.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/src copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/src/grunfeld.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/src copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/grunfeld.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/statecrime.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/_kernel_base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernel_density.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kdetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/Xi_test_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kernel_density.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde_fft.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde_weights.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/smoothers_lowess_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/bandwidths.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/_smoothers_lowess.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/linbin.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/smoothers_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/cox.py to cox.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/descstats.py to descstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/rls.py to rls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/bspline.py to bspline.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich/factormodels.py to factormodels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/infotheo.py to infotheo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/multilinear.py to multilinear.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mle.py to mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/km_class.py to km_class.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/contrast_old.py to contrast_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/survival.py to survival.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/estimators.py to estimators.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/transformed.py to transformed.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/otherdist.py to otherdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/genpareto.py to genpareto.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/multivariate.py to multivariate.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/extras.py to extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/testtransf.py to testtransf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/distparams.py to distparams.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py to test_multivariate.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/_est_fit.py to _est_fit.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/check_moments.py to check_moments.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py to test_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/gof_new.py to gof_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/copula.py to copula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_transf2.py to ex_transf2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_gof.py to ex_gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/matchdist.py to matchdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_fitfr.py to ex_fitfr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_mvelliptical.py to ex_mvelliptical.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/mv_measures.py to mv_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/sppatch.py to sppatch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/try_max.py to try_max.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/quantize.py to quantize.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/try_pot.py to try_pot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/mv_normal.py to mv_normal.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/transform_functions.py to transform_functions.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/maketests_mlabwrap.py to maketests_mlabwrap.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/model_results.py to model_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/datamlw.py to datamlw.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_pca.py to test_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_formula.py to test_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_gam.py to test_gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/savervs.py to savervs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate/arma.py to arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_0.py to ex_mixed_lls_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/run_all.py to run_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_gam_0.py to example_gam_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/findow_1.py to findow_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/try_interchange.py to try_interchange.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py to ex_ratereturn.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/findow_0.py to findow_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_maxent.py to example_maxent.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_re.py to ex_mixed_lls_re.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_crossval.py to example_crossval.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_multiols.py to try_multiols.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_cusum.py to ex_cusum.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_gam.py to example_gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_pca.py to example_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_kaplan_meier.py to ex_kaplan_meier.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_smoothers.py to try_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_formula_factor.py to ex_formula_factor.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/bayesprior.py to bayesprior.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_quantile_regression.py to try_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py to ex_mixed_lls_timecorr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_sysreg.py to example_sysreg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_pca_regression.py to example_pca_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_nbin.py to example_nbin.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_quantile_regression1.py to try_quantile_regression1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_formula.py to ex_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_mle.py to example_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_onewaygls.py to ex_onewaygls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_random_panel.py to ex_random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_garch.py to example_garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_gam_results.py to ex_gam_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/survival2.py to survival2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/tools_pca.py to tools_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/mctools.py to mctools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/cross_val.py to cross_val.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/try_mctools.py to try_mctools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/panel_short.py to panel_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/correlation_structures.py to correlation_structures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/mixed.py to mixed.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py to test_random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/sandwich_covariance.py to sandwich_covariance.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/sandwich_covariance_generic.py to sandwich_covariance_generic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/random_panel.py to random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/panelmod.py to panelmod.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/gam.py to gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/linalg_decomp_1.py to linalg_decomp_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/linalg_covmat.py to linalg_covmat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/tsa.py to tsa.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/formula.py to formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/kernridgeregress_class.py to kernridgeregress_class.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_treewalker.py to try_treewalker.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_ols_anova.py to try_ols_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/penalized.py to penalized.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/ar_panel.py to ar_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/predstd.py to predstd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/runmnl.py to runmnl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/anova_nistcertified.py to anova_nistcertified.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/tools.py to tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/onewaygls.py to onewaygls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/treewalkerclass.py to treewalkerclass.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/sympy_diff.py to sympy_diff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_catdata.py to try_catdata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/ols_anova_original.py to ols_anova_original.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/example_kernridge.py to example_kernridge.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/gmm.py to gmm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/runs.py to runs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/ex_newtests.py to ex_newtests.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/stats_mstats_short.py to stats_mstats_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/contrast_tools.py to contrast_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/stats_dhuard.py to stats_dhuard.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/multicomp.py to multicomp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/diagnostic.py to diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/sysreg.py to sysreg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/utils_old.py to utils_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_arma_more.py to try_arma_more.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/garch.py to garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/varma.py to varma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/movstat.py to movstat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/fftarma.py to fftarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_var_convolve.py to try_var_convolve.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/example_arma.py to example_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/diffusion2.py to diffusion2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/ex_mle_arma.py to ex_mle_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/try_ld_nitime.py to try_ld_nitime.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/ex_mle_garch.py to ex_mle_garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/example_var.py to example_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/diffusion.py to diffusion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_fi.py to try_fi.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/pca.py to pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/testdata.py to testdata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kernels.py to kernels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/densityorthopoly.py to densityorthopoly.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py to test_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py to ex_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py to ex_gam_am_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py to ex_gam_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py to test_kernel_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kernel_extras.py to kernel_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kde2.py to kde2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/dgp_examples.py to dgp_examples.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/smoothers.py to smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kdecovclass.py to kdecovclass.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/counter.py to counter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/iter_compat.py to iter_compat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/ordereddict.py to ordereddict.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/test_collections.py to test_collections.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/test_itercompat.py to test_itercompat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/np_compat.py to np_compat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/collections.py to collections.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/py3k.py to py3k.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/formulatools.py to formulatools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests/test_formula.py to test_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/test_mixture.py to test_mixture.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/test_ecdf.py to test_ecdf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/empirical_distribution.py to empirical_distribution.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/mixture_rvs.py to mixture_rvs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/rmodelwrap.py to rmodelwrap.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/coverage_sm.py to coverage_sm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/check_for_rpy.py to check_for_rpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py to test_discrete.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results/results_discrete.py to results_discrete.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/discrete_margins.py to discrete_margins.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/discrete_model.py to discrete_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_shrink_pickle.py to test_shrink_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_generic_methods.py to test_generic_methods.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_optimize.py to test_optimize.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_data.py to test_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_slsqp.py to l1_slsqp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/model.py to model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/wrapper.py to wrapper.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_solvers_common.py to l1_solvers_common.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_cvxopt.py to l1_cvxopt.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_arch_canada.py to ex_arch_canada.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_2.py to ex_emplike_2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression2.py to ex_kernel_regression2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/run_all.py to run_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_outliers_influence.py to ex_outliers_influence.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_misc_tmodel.py to ex_misc_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_functional_plots.py to example_functional_plots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pandas.py to ex_pandas.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_power.py to try_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_regressionplots.py to ex_regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_nearest_corr.py to ex_nearest_corr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich2.py to ex_sandwich2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_enhanced_boxplots.py to example_enhanced_boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tut_ols_ancova.py to tut_ols_ancova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_dgp.py to ex_kernel_regression_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_discrete_mnl.py to example_discrete_mnl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression.py to ex_kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_multivar_kde.py to ex_multivar_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_tukey_hsd.py to try_tukey_hsd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_test_functional_li_wang.py to ex_kernel_test_functional_li_wang.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_3.py to ex_emplike_3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/t_est_rlm.py to t_est_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_kde.py to example_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_test_functional.py to ex_kernel_test_functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_univar_kde.py to ex_univar_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_lowess.py to ex_lowess.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_sigtest.py to ex_kernel_regression_sigtest.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich3.py to ex_sandwich3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_feasible_gls_het.py to ex_feasible_gls_het.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_shrink_pickle.py to ex_shrink_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_rpy.py to example_rpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle.py to ex_generic_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_inter_rater.py to ex_inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_gof_chisquare.py to try_gof_chisquare.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_ols_minimal_comp.py to example_ols_minimal_comp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_ols_robustcov.py to ex_ols_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_grangercausality.py to ex_grangercausality.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_polytrend.py to try_polytrend.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_power2.py to try_power2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_feasible_gls_het_0.py to ex_feasible_gls_het_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_2regress.py to try_2regress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_semilinear_dgp.py to ex_kernel_semilinear_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tut_ols_rlm_short.py to tut_ols_rlm_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle_tdist.py to ex_generic_mle_tdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression3.py to ex_kernel_regression3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pairwise.py to ex_pairwise.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_1.py to ex_emplike_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_rootfinding.py to ex_rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_singleindex_dgp.py to ex_kernel_singleindex_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_misc_tarma.py to ex_misc_tarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich.py to ex_sandwich.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_var.py to ex_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/arma_plots.py to arma_plots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/compare_arma.py to compare_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/try_ar.py to try_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_var_reorder.py to ex_var_reorder.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_arma_all.py to ex_arma_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/lagpolynomial.py to lagpolynomial.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_coint.py to ex_coint.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ar1cholesky.py to ar1cholesky.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_arma.py to ex_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_proportion.py to ex_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_censored2.py to ex_kernel_regression_censored2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/es_misc_poisson2.py to es_misc_poisson2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/sklearn_compare.py to sklearn_compare.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/demo.py to demo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/short_demo.py to short_demo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle_t.py to ex_generic_mle_t.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_scatter_ellipse.py to ex_scatter_ellipse.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pareto_plot.py to ex_pareto_plot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/parallel.py to parallel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/grouputils.py to grouputils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/rootfinding.py to rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/print_version.py to print_version.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_numdiff.py to test_numdiff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_rootfinding.py to test_rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_catadd.py to test_catadd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_parallel.py to test_parallel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_tools.py to test_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_eval_measures.py to test_eval_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_data.py to test_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/sm_exceptions.py to sm_exceptions.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/wrappers.py to wrappers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tools.py to tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/compatibility.py to compatibility.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/decorators.py to decorators.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/catadd.py to catadd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/eval_measures.py to eval_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/dump2module.py to dump2module.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/numdiff.py to numdiff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/linalg.py to linalg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/info.py to info.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/results_glm.py to results_glm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/glm_test_resids.py to glm_test_resids.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/test_glm.py to test_glm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/links.py to links.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/family.py to family.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/varfuncs.py to varfuncs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/generalized_linear_model.py to generalized_linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/version.py to version.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/linear_model.py to linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/quantile_regression.py to quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_cov.py to test_cov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_glsar_stata.py to test_glsar_stata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_glsar_gretl.py to test_glsar_gretl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/macro_gr_corc_stata.py to macro_gr_corc_stata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py to results_grunfeld_ols_robust_cluster.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_regression.py to results_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_macro_ols_robust.py to results_macro_ols_robust.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results_quantile_regression.py to results_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_robustcov.py to test_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_quantile_regression.py to test_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_regression.py to test_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/feasible_gls.py to feasible_gls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/functional.py to functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/plottools.py to plottools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tsaplots.py to tsaplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/regressionplots.py to regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tukeyplot.py to tukeyplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_factorplots.py to test_factorplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_tsaplots.py to test_tsaplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_boxplots.py to test_boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_mosaicplot.py to test_mosaicplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_functional.py to test_functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_correlation.py to test_correlation.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_gofplots.py to test_gofplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_regressionplots.py to test_regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/mosaicplot.py to mosaicplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/correlation.py to correlation.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/plot_grids.py to plot_grids.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/factorplots.py to factorplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/gofplots.py to gofplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/boxplots.py to boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/results_tmodel.py to results_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_tmodel.py to test_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_generic_mle.py to test_generic_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_poisson.py to test_poisson.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_tarma.py to test_tarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/try_mlecov.py to try_mlecov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/count.py to count.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tmodel.py to tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/nonlinls.py to nonlinls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py to test_qsturng.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/make_tbls.py to make_tbls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/qsturng_.py to qsturng_.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py to anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/base.py to base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/descriptivestats.py to descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py to test_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_contrast.py to test_contrast.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_descriptivestats.py to test_descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_tost.py to test_tost.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_sandwich.py to test_sandwich.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_statstools.py to test_statstools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_weightstats.py to test_weightstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_diagnostic.py to test_diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_nonparametric.py to test_nonparametric.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_proportion.py to test_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_multi.py to test_multi.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_qsturng.py to test_qsturng.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_power.py to results_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_panelrobust.py to results_panelrobust.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_proportion.py to results_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_power.py to test_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_groups_sw.py to test_groups_sw.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_panel_robustcov.py to test_panel_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_inter_rater.py to test_inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_gof.py to test_gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_moment_helpers.py to test_moment_helpers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_corrpsd.py to test_corrpsd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_pairwise.py to test_pairwise.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/sandwich_covariance.py to sandwich_covariance.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/adnorm.py to adnorm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/power.py to power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/gof.py to gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/correlation_tools.py to correlation_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/outliers_influence.py to outliers_influence.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/multitest.py to multitest.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/inter_rater.py to inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/contrast.py to contrast.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tabledist.py to tabledist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/multicomp.py to multicomp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/weightstats.py to weightstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/moment_helpers.py to moment_helpers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/diagnostic.py to diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/stattools.py to stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/proportion.py to proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/lilliefors.py to lilliefors.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/varma_process.py to varma_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arima_model.py to arima_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arima_process.py to arima_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/setup.py to setup.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/descriptivestats.py to descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_tsa_tools.py to test_tsa_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_adfuller_lag.py to test_adfuller_lag.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_arima_process.py to test_arima_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_stattools.py to test_stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_arima.py to test_arima.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_ar.py to test_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_process.py to results_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111nc_results.py to arima111nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/make_arma.py to make_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112nc_css_results.py to arima112nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/datamlw_tls.py to datamlw_tls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_arima.py to results_arima.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112_css_results.py to arima112_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/savedrvs.py to savedrvs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211_css_results.py to arima211_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211nc_results.py to arima211nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_ar.py to results_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111nc_css_results.py to arima111nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111_results.py to arima111_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112nc_results.py to arima112nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111_css_results.py to arima111_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211_results.py to arima211_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_arma.py to results_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112_results.py to arima112_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211nc_css_results.py to arima211nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/test_base.py to test_base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/test_datetools.py to test_datetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/datetools.py to datetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tsa_model.py to tsa_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tsatools.py to tsatools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/hp_filter.py to hp_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests/test_filters.py to test_filters.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/filtertools.py to filtertools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/bk_filter.py to bk_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/cf_filter.py to cf_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalmanfilter.py to kalmanfilter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/mlemodel.py to mlemodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/ar_model.py to ar_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/adfvalues.py to adfvalues.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arma_mle.py to arma_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests/test_denton.py to test_denton.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/denton.py to denton.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/output.py to output.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/irf.py to irf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py to test_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/example_svar.py to example_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_var_data.py to results_var_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_svar.py to results_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_var.py to results_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py to test_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/svar_model.py to svar_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/util.py to util.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/var_model.py to var_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/plotting.py to plotting.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/dynamic.py to dynamic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/stattools.py to stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/summary.py to summary.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/foreign.py to foreign.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/smpickle.py to smpickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tableformatting.py to tableformatting.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/stata_summary_examples.py to stata_summary_examples.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_summary_old.py to test_summary_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_table.py to test_table.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_foreign.py to test_foreign.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results/macrodata.py to macrodata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_summary.py to test_summary.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_table_econpy.py to test_table_econpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_pickle.py to test_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/table.py to table.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/summary2.py to summary2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/koul_and_mc.py to koul_and_mc.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/elanova.py to elanova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/elregress.py to elregress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_anova.py to test_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_descriptive.py to test_descriptive.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results/el_results.py to el_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_aft.py to test_aft.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_regression.py to test_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_origin.py to test_origin.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/aft_el.py to aft_el.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/descriptive.py to descriptive.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/originregress.py to originregress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/norms.py to norms.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/scale.py to scale.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results/results_rlm.py to results_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/test_scale.py to test_scale.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/test_rlm.py to test_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/robust_linear_model.py to robust_linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests/test_utils.py to test_utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/template_data.py to template_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_kernel_base.py to _kernel_base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernels.py to kernels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernel_density.py to kernel_density.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kdetools.py to kdetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kde.py to test_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py to test_kernel_density.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_lowess.py to test_lowess.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py to test_kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/smoothers_lowess_old.py to smoothers_lowess_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/bandwidths.py to bandwidths.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernel_regression.py to kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kde.py to kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/smoothers_lowess.py to smoothers_lowess.pyc running install_egg_info Copying statsmodels.egg-info to debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels-0.6.0.egg-info running install_scripts : # Run unittests here against installed statsmodels cd build/ && \ PYTHONPATH=`/bin/ls -d /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/*/` \ MPLCONFIGDIR=/build/buildd/statsmodels-0.6.0~ppa18~revno/build \ python2.7 /usr/bin/nosetests -s -v statsmodels || : /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/var_model.py:339: FutureWarning: The names argument is deprecated and will be removed in the next release. "removed in the next release.", FutureWarning) statsmodels.base.tests.test_data.TestArrayDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestArrays.test_attach ... ok statsmodels.base.tests.test_data.TestArrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays.test_labels ... ok statsmodels.base.tests.test_data.TestArrays.test_names ... ok statsmodels.base.tests.test_data.TestArrays.test_orig ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_attach ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_labels ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_names ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_orig ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_attach ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_labels ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_names ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_orig ... ok statsmodels.base.tests.test_data.TestConstant.test_array_constant ... ok statsmodels.base.tests.test_data.TestConstant.test_array_noconstant ... ok statsmodels.base.tests.test_data.TestConstant.test_pandas_constant ... ok statsmodels.base.tests.test_data.TestConstant.test_pandas_noconstant ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_names ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_orig ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_names ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_orig ... ok statsmodels.base.tests.test_data.TestDataFrames.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrames.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrames.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrames.test_names ... ok statsmodels.base.tests.test_data.TestDataFrames.test_orig ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestLists.test_attach ... ok statsmodels.base.tests.test_data.TestLists.test_endogexog ... ok statsmodels.base.tests.test_data.TestLists.test_labels ... ok statsmodels.base.tests.test_data.TestLists.test_names ... ok statsmodels.base.tests.test_data.TestLists.test_orig ... ok statsmodels.base.tests.test_data.TestMissingArray.test_drop ... ok statsmodels.base.tests.test_data.TestMissingArray.test_endog_only_drop ... ok statsmodels.base.tests.test_data.TestMissingArray.test_endog_only_raise ... ok statsmodels.base.tests.test_data.TestMissingArray.test_extra_kwargs_1d ... ok statsmodels.base.tests.test_data.TestMissingArray.test_extra_kwargs_2d ... ok statsmodels.base.tests.test_data.TestMissingArray.test_mv_endog ... ok statsmodels.base.tests.test_data.TestMissingArray.test_none ... ok statsmodels.base.tests.test_data.TestMissingArray.test_raise ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_drop ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_endog_only_drop ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_endog_only_raise ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_labels ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_mv_endog ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_none ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_raise ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_attach ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_labels ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_names ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_orig ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_attach ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_endogexog ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_labels ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_names ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_orig ... ok statsmodels.base.tests.test_data.TestRecarrays.test_attach ... ok statsmodels.base.tests.test_data.TestRecarrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestRecarrays.test_labels ... ok statsmodels.base.tests.test_data.TestRecarrays.test_names ... ok statsmodels.base.tests.test_data.TestRecarrays.test_orig ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_attach ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_endogexog ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_labels ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_names ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_orig ... ok statsmodels.base.tests.test_data.TestStructarrays.test_attach ... ok statsmodels.base.tests.test_data.TestStructarrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestStructarrays.test_labels ... ok statsmodels.base.tests.test_data.TestStructarrays.test_names ... ok statsmodels.base.tests.test_data.TestStructarrays.test_orig ... ok Fix Issue #206 ... ok statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_ttest_tvalues ... ok statsmodels.base.tests.test_optimize.test_full_output_false ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_remove_data_pickle ... ok statsmodels.compatnp.tests.test_collections.test_counter ... ok statsmodels.compatnp.tests.test_itercompat.test_zip_longest ... ok statsmodels.compatnp.tests.test_itercompat.test_combinations ... ok statsmodels.datasets.tests.test_utils.test_get_rdataset ... ok statsmodels.discrete.tests.test_discrete.TestCVXOPT.test_cvxopt_versus_slsqp ... SKIP: Skipped test_cvxopt since cvxopt is not available statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroLogit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroLogit.test_tests ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroMNLogit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroProbit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroProbit.test_tests ... ok SKIP statsmodels.discrete.tests.test_discrete.TestLogitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_exog1 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_exog2 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_eydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_eydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_exog1 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_exog2 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_pearson ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_f_test ... SKIP: Skipped test_f_test for MNLogit statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_endog_names ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_j ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_k ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_dummy ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_mean ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_endog_names ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_j ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_k ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_dummy ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_mean ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_lnalpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_lnalpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_alpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_alpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_margeff_dummy_overall ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict_prob ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_zstat ... ok SKIP: Skipped TestProbitBasinhopping since basinhopping solver is not available statsmodels.discrete.tests.test_discrete.TestProbitCG.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestSweepAlphaL1.test_sweep_alpha ... ok statsmodels.discrete.tests.test_discrete.test_perfect_prediction ... ok statsmodels.discrete.tests.test_discrete.test_poisson_predict ... ok statsmodels.discrete.tests.test_discrete.test_poisson_newton ... ok statsmodels.discrete.tests.test_discrete.test_issue_339 ... ok statsmodels.discrete.tests.test_discrete.test_issue_341 ... ok statsmodels.discrete.tests.test_discrete.test_iscount ... ok statsmodels.discrete.tests.test_discrete.test_isdummy ... ok test_StepFunction (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionBadShape (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionRepeatedValues (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionValueSideRight (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_monotone_fn_inverter (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_cdf ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_pdf ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_rvs_fixed ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_rvs_random ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mv_mixture_rvs_fixed ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mv_mixture_rvs_random ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta0 ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta1 ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta_vect ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_betaci ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_params ... ok statsmodels.emplike.tests.test_anova.TestANOVA.test_anova ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_corr ... ok Same strategy for skewness CI ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_mean ... ok This will be tested in a round about way since MATLAB fails when ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_skew_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_var ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_joint_skew_kurt ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_mv_test_mean ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_mv_test_mean_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_corr ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_corr_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_kurt ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_mean ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_mean_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_skew ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_var ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_var_weights ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_ci_beta ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_llf ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_params ... ok All confidence intervals are tested by conducting a hypothesis ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta3 ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_summary ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_summary ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_summary ... ok statsmodels.formula.tests.test_formula.test_tests ... ok statsmodels.formula.tests.test_formula.test_formula_labels ... ok statsmodels.formula.tests.test_formula.test_formula_predict ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_params ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_missing ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.test_prefect_pred ... ok Regression test for mutables and class constructors. ... ok Test violinplot and beanplot with the same dataset. ... ok statsmodels.graphics.tests.test_correlation.test_plot_corr ... ok statsmodels.graphics.tests.test_correlation.test_plot_corr_grid ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_both ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_pandas ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_rainbow ... ok statsmodels.graphics.tests.test_functional.test_banddepth_BD2 ... ok statsmodels.graphics.tests.test_functional.test_banddepth_MBD ... ok Test fboxplot and rainbowplot together, is much faster. ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot_comparison ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot_comparison_arrays ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot_2samples ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot_2samples_arrays ... ok statsmodels.graphics.tests.test_mosaicplot.test_data_conversion ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic_simple ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic_very_complex ... ok statsmodels.graphics.tests.test_mosaicplot.test_axes_labeling ... ok statsmodels.graphics.tests.test_mosaicplot.test_recursive_split ... ok statsmodels.graphics.tests.test_mosaicplot.test__reduce_dict ... ok statsmodels.graphics.tests.test_mosaicplot.test__key_splitting ... ok statsmodels.graphics.tests.test_mosaicplot.test_proportion_normalization ... ok statsmodels.graphics.tests.test_mosaicplot.test_false_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_rect_pure_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_rect_deformed_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_gap_split ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_ab ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_ab_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_model ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_model_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_ab ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_ab_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_model ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_model_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestPlot.test_plot_fit ... ok statsmodels.graphics.tests.test_regressionplots.TestPlot.test_plot_oth ... ok statsmodels.graphics.tests.test_regressionplots.TestPlotPandas.test_plot_fit ... ok statsmodels.graphics.tests.test_regressionplots.TestPlotPandas.test_plot_oth ... ok statsmodels.graphics.tests.test_tsaplots.test_plot_acf ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta_pandas ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_structured ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_array ... ok statsmodels.iolib.tests.test_foreign.test_missing_roundtrip ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_pandas ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_unicode ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta_datetime ... ok statsmodels.iolib.tests.test_foreign.test_date_converters ... ok statsmodels.iolib.tests.test_foreign.test_datetime_roundtrip ... ok statsmodels.iolib.tests.test_pickle.test_pickle ... ok Basic test, test_SimpleTable_1 ... ok Test SimpleTable.extend_right() ... ok Test SimpleTable.extend() as in extend down ... ok Basic test, test_SimpleTable_4 ... ok test_regression_with_tuples (statsmodels.iolib.tests.test_table.TestSimpleTable) ... ok test_celldata (statsmodels.iolib.tests.test_table_econpy.test_Cell) ... ok Limited test of custom custom labeling ... ok Limited test of custom html_fmt ... ok Limited test of custom ltx_fmt ... ok Limited test of custom txt_fmt ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_minsupport ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_params ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_summary ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_ttest ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_params ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_summary ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_exog_names_warning ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_ttest ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_fit_ls ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_params ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_smoke ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_fit_ls ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_params ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_smoke ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_basic ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_bse ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_fitted ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_formula ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_smoke ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModelFixed.test_smoke ... ok statsmodels.nonparametric.tests.test_kde.TestKDEBiweight.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEEpanechnikov.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEGauss.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEGaussFFT.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDETriangular.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKdeWeights.test_density ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cvls_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cvml_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_efficient_notrandom ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_mixeddata_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_continuous ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_CV_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_LS_vs_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_ordered ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_unordered_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_CV_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_cvml_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_normal_ref ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_mixeddata_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_mixeddata_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_pdf_continuous ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_pdf_mixeddata ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_unordered_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_censored_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_cvls_efficient ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_lc_aic ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_mfx_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuousdata_lc_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuousdata_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_mfx_nonlinear_ll_cvls ... SKIP: Skipping test: test_mfx_nonlinear_ll_cvls Test doesn't make much sense. It would pass with very small bw. statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_mixed_mfx_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_ordered_lc_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_significance_continuous ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_significance_discrete ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_delta ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_frac ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_import ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_iter ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_options ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_simple ... ok statsmodels.regression.tests.test_cov.test_HC_use ... ok statsmodels.regression.tests.test_glsar_gretl.TestGLSARGretl.test_all ... ok statsmodels.regression.tests.test_glsar_gretl.test_GLSARlag ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_params_table ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_predicted ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_rho ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.test_fitted_residuals ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_aic ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_bic ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_degrees ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_ess ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_loglike ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_params ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_resids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_scale ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_wresid ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_df_num ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_new_ftest ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestFtest.test_Df_denom ... ok statsmodels.regression.tests.test_regression.TestFtest.test_Df_num ... ok statsmodels.regression.tests.test_regression.TestFtest.test_F ... ok statsmodels.regression.tests.test_regression.TestFtest.test_p ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_df_num ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestGLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS.test_fittedvalues ... ok statsmodels.regression.tests.test_regression.TestGLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS.test_missing ... ok statsmodels.regression.tests.test_regression.TestGLS.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS.test_resid ... ok statsmodels.regression.tests.test_regression.TestGLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS.test_tvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wresid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wrong_size_sigma_1d ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wrong_size_sigma_2d ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_params ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_params_none ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_wresid ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_LRversion ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_demean ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_nodemean ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_homoskedastic ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_nonnested ... ok statsmodels.regression.tests.test_regression.TestNonFit.test_df_resid ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_params ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_wresid ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_params ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_wresid ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_params ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_wresid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC0_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC1_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC2_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC3_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestOLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestOLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestOLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestOLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestOLS.test_eigenvalues ... ok statsmodels.regression.tests.test_regression.TestOLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestOLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestOLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestOLS.test_missing ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resid_zero_variance ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_alternatives ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_normalized_cov_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared_adj_overfit ... ok statsmodels.regression.tests.test_regression.TestOLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestOLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_ll ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_params ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_ss ... ok statsmodels.regression.tests.test_regression.TestRTO.test_aic ... ok statsmodels.regression.tests.test_regression.TestRTO.test_bic ... ok statsmodels.regression.tests.test_regression.TestRTO.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestRTO.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestRTO.test_degrees ... ok statsmodels.regression.tests.test_regression.TestRTO.test_ess ... ok statsmodels.regression.tests.test_regression.TestRTO.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestRTO.test_loglike ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestRTO.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_params ... ok statsmodels.regression.tests.test_regression.TestRTO.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestRTO.test_resids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestRTO.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestRTO.test_scale ... ok statsmodels.regression.tests.test_regression.TestRTO.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestRTO.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_wresid ... ok statsmodels.regression.tests.test_regression.TestTtest.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestTtest.test_effect ... ok statsmodels.regression.tests.test_regression.TestTtest.test_new_tvalue ... ok statsmodels.regression.tests.test_regression.TestTtest.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestTtest.test_sd ... ok statsmodels.regression.tests.test_regression.TestTtest.test_tvalue ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_effect ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_sd ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_tvalue ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_params ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_wresid ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_params ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_wresid ... ok statsmodels.regression.tests.test_regression.TestWLS_CornerCases.test_wrong_size_weights ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_params ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestYuleWalker.test_params ... ok statsmodels.regression.tests.test_regression.test_wls_example ... ok statsmodels.regression.tests.test_regression.test_wls_tss ... ok statsmodels.regression.tests.test_regression.test_wls_missing ... ok statsmodels.regression.tests.test_regression.test_bad_size ... ok statsmodels.regression.tests.test_regression.test_const_indicator ... ok statsmodels.regression.tests.test_regression.test_706 ... ok statsmodels.regression.tests.test_regression.test_summary ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust1.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust1.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust3.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust3.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacLarge.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacLarge.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacSmall.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacSmall.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestWLSOLSRobustSmall.test_all ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_ttest ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestHampel.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_params ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_scale ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_summary ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_weights ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestHampelHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestHampelHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlm.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlmSresid.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_weights ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_Hampel ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_huberT ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_location ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_scale ... ok statsmodels.robust.tests.test_scale.TestChem.test_mad ... ok statsmodels.robust.tests.test_scale.TestChem.test_mean ... ok statsmodels.robust.tests.test_scale.TestChem.test_median ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axis1 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axis2 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axisneg1 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_default ... ok statsmodels.robust.tests.test_scale.TestMad.test_mad ... ok statsmodels.robust.tests.test_scale.TestMad.test_mad_center ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis0 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis1 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis2 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axisneg1 ... ok statsmodels.sandbox.distributions.tests.test_extras.test_skewnorm ... ok statsmodels.sandbox.distributions.tests.test_extras.test_skewt ... ok statsmodels.sandbox.distributions.tests.test_multivariate.TestMVDistributions.test_mvn_pdf ... ok statsmodels.sandbox.distributions.tests.test_multivariate.TestMVDistributions.test_mvt_pdf ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_1 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_2 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_3 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_4 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_5 ... ok statsmodels.sandbox.distributions.tests.testtransf.Test_Transf2.test_equivalent ... ok statsmodels.sandbox.distributions.tests.testtransf.Test_Transf2.test_equivalent_negsq ... ok statsmodels.sandbox.nonparametric.tests.test_kernel_extras.TestSemiLinear.test_basic ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_predict ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_predict ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_predict ... ok statsmodels.sandbox.panel.tests.test_random_panel.test_short_panel ... ok test_call (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast4 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_design (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor4 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor5 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_interactions (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_intercept1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_intercept3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_namespace (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_ordinal_factor (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_ordinal_factor2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_power (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_product (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_quantitative (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_str (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_subtract (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_termcolumns (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_add (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_init (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_mul (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_str (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok statsmodels.sandbox.tests.test_gam.TestAdditiveModel.test_params ... ok statsmodels.sandbox.tests.test_gam.TestAdditiveModel.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_predict ... ok statsmodels.sandbox.tests.test_pca.test_pca_princomp ... ok statsmodels.sandbox.tests.test_pca.test_pca_svd ... ok test_100_random_values (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok test_handful_to_known_values (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok test_invalid_parameters (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok scalar input -> scalar output ... ok test_v_equal_one (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok vector input -> vector output ... ok test_10000_to_ch (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_handful_to_ch (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_handful_to_tbl (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_invalid_parameters (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok scalar input -> scalar output ... ok vector input -> vector output ... ok statsmodels.stats.tests.test_anova.TestAnova2.test_results ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:211: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][test] = test_value = f.fvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:212: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][pr_test] = f.pvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:215: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i]['df'] = r FAIL statsmodels.stats.tests.test_anova.TestAnova2HC0.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC1.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC2.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC3.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3.test_results ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:250: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][test] = test_value = f.fvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:251: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][pr_test] = f.pvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:254: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i]['df'] = r FAIL statsmodels.stats.tests.test_anova.TestAnova3HC0.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC1.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC2.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC3.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnovaLM.test_results ... ok statsmodels.stats.tests.test_anova.TestAnovaLMCompare.test_results ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast1 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast2 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast3 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_estimable ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_clipped ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_cov_nearest ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_nearest ... ok statsmodels.stats.tests.test_corrpsd.TestCovPSD.test_cov_nearest ... ok statsmodels.stats.tests.test_corrpsd.test_corr_psd ... ok statsmodels.stats.tests.test_corrpsd.test_corrpsd_threshold ... ok statsmodels.stats.tests.test_descriptivestats.test_sign_test ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_acorr_breush_godfrey ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_acorr_ljung_box ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_basic ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_breaks_hansen ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_compare_lr ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_compare_nonnested ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_cusum_ols ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_hac ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_harvey_collier ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_arch ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_arch2 ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_breush_pagan ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_goldfeldquandt ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_white ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_influence ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_normality ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_rainbow ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_recursive_residuals ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_acorr_breush_godfrey ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_acorr_ljung_box ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_basic ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_breaks_hansen ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_compare_lr ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_compare_nonnested ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_cusum_ols ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_hac ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_harvey_collier ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_arch ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_arch2 ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_breush_pagan ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_goldfeldquandt ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_white ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_influence ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_normality ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_rainbow ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_recursive_residuals ... ok statsmodels.stats.tests.test_diagnostic.test_outlier_influence_funcs ... ok statsmodels.stats.tests.test_diagnostic.test_influence_wrapped ... ok statsmodels.stats.tests.test_diagnostic.test_outlier_test ... ok statsmodels.stats.tests.test_gof.test_chisquare_power ... ok statsmodels.stats.tests.test_gof.test_chisquare ... ok statsmodels.stats.tests.test_gof.test_chisquare_effectsize ... ok statsmodels.stats.tests.test_groups_sw.TestBalanced.test_raises ... ok statsmodels.stats.tests.test_groups_sw.TestBalanced.test_values ... ok statsmodels.stats.tests.test_groups_sw.TestUnBalanced.test_raises ... ok statsmodels.stats.tests.test_groups_sw.TestUnBalanced.test_values ... ok statsmodels.stats.tests.test_inter_rater.TestWeightedCohens.test_option ... ok statsmodels.stats.tests.test_inter_rater.TestWeightedCohens.test_results ... ok statsmodels.stats.tests.test_inter_rater.test_fleiss_kappa ... ok statsmodels.stats.tests.test_inter_rater.test_cohenskappa_weights ... ok statsmodels.stats.tests.test_inter_rater.test_cohens_kappa_irr ... ok statsmodels.stats.tests.test_inter_rater.test_fleiss_kappa_irr ... ok statsmodels.stats.tests.test_inter_rater.test_to_table ... ok statsmodels.stats.tests.test_inter_rater.test_aggregate_raters ... ok statsmodels.stats.tests.test_moment_helpers.test_cov2corr ... ok statsmodels.stats.tests.test_moment_helpers.test_moment_conversion ... ok statsmodels.stats.tests.test_moment_helpers.test_moment_conversion_types ... ok statsmodels.stats.tests.test_multi.TestMultiTests1.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests2.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests3.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests4.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:4\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.1111, 0.1111, 0.1111, 0.1111, 0.1111, 0.1111, 0.1111,\n 0.1111, 0.1111, 0.1111])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909, 0.09999 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909, 0.04545 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.02295225, 0.0303 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.015453 , 0.020301 , 0.022725 , 0.09091818,\n 0.09394212, 0.09610208, 0.09772204, 0.09898202, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.01170337, 0.0153015 , 0.01710056, 0.01818 ,\n 0.07576515, 0.08441688, 0.09090568, 0.09595253, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.0094536 , 0.0123018 , 0.0137259 , 0.01458036,\n 0.01515 , 0.06494156, 0.07954507, 0.09090337, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000808 , 0.00707 , 0.00915733, 0.010201 , 0.0108272 ,\n 0.01124467, 0.01154286, 0.0505101 , 0.07182671, 0.08888 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000707 , 0.005353 , 0.00690167, 0.007676 , 0.0081406 ,\n 0.00845033, 0.00867157, 0.0088375 , 0.03928563, 0.07777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.000606 , 0.00405263, 0.0052015 , 0.00577594, 0.0061206 ,\n 0.00635038, 0.0065145 , 0.00663759, 0.00673333, 0.03030606])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.000101 , 0.000606 , 0.00077433, 0.0008585 , 0.000909 ,\n 0.00094267, 0.00096671, 0.00098475, 0.00099878, 0.00101 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.045 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.022725, 0.03 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.0153 , 0.0201 , 0.0225 , 0.090018 ,\n 0.093012 , 0.09515057, 0.0967545 , 0.098002 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.0115875 , 0.01515 , 0.01693125, 0.018 ,\n 0.075015 , 0.08358107, 0.09000562, 0.0950025 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.00936 , 0.01218 , 0.01359 , 0.014436 ,\n 0.015 , 0.06429857, 0.0787575 , 0.09000333, 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0008 , 0.007 , 0.00906667, 0.0101 , 0.01072 ,\n 0.01113333, 0.01142857, 0.05001 , 0.07111556, 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.0053 , 0.00683333, 0.0076 , 0.00806 ,\n 0.00836667, 0.00858571, 0.00875 , 0.03889667, 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0006 , 0.0040125 , 0.00515 , 0.00571875, 0.00606 ,\n 0.0062875 , 0.00645 , 0.00657187, 0.00666667, 0.030006 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.01 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:4\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:5\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:5\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:5\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case sh 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case sh 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case sh 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hs 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hs 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hs 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case h 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case h 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case h 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case h 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hommel 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hommel 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hommel 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_i 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_n 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_n 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_n 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.1155, 0.1155, 0.1155, 0.1155, 0.1155, 0.1155, 0.1155,\n 0.1155, 0.1155, 0.1155])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000945, 0.10395 , 0.10395 , 0.10395 , 0.10395 , 0.10395 ,\n 0.10395 , 0.10395 , 0.10395 , 0.10395 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000945, 0.04725 , 0.10395 , 0.10395 , 0.10395 , 0.10395 ,\n 0.10395 , 0.10395 , 0.10395 , 0.10395 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000735 , 0.01855875, 0.0245 , 0.08085 , 0.08085 ,\n 0.08085 , 0.08085 , 0.08085 , 0.08085 , 0.08085 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00063 , 0.01071 , 0.01407 , 0.01575 , 0.0630126 ,\n 0.0651084 , 0.0666054 , 0.06772815, 0.0686014 , 0.0693 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000525 , 0.00675937, 0.0088375 , 0.00987656, 0.0105 ,\n 0.04375875, 0.04875563, 0.05250328, 0.05541813, 0.05775 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00042 , 0.004368 , 0.005684 , 0.006342 , 0.0067368 ,\n 0.007 , 0.030006 , 0.0367535 , 0.04200156, 0.0462 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000315 , 0.00275625, 0.00357 , 0.00397688, 0.004221 ,\n 0.00438375, 0.0045 , 0.01969144, 0.02800175, 0.03465 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00021 , 0.00159 , 0.00205 , 0.00228 , 0.002418 ,\n 0.00251 , 0.00257571, 0.002625 , 0.011669 , 0.0231 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.000105 , 0.00070219, 0.00090125, 0.00100078, 0.0010605 ,\n 0.00110031, 0.00112875, 0.00115008, 0.00116667, 0.00525105])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00105 , 0.0063 , 0.00805 , 0.008925 , 0.00945 ,\n 0.0098 , 0.01005 , 0.0102375 , 0.01038333, 0.0105 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0008, 0.04 , 0.088 , 0.088 , 0.088 , 0.088 , 0.088 ,\n 0.088 , 0.088 , 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.017675 , 0.02333333, 0.077 , 0.077 ,\n 0.077 , 0.077 , 0.077 , 0.077 , 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0006 , 0.0102 , 0.0134 , 0.015 , 0.060012 ,\n 0.062008 , 0.06343371, 0.064503 , 0.06533467, 0.066 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0005 , 0.0064375 , 0.00841667, 0.00940625, 0.01 ,\n 0.041675 , 0.04643393, 0.05000312, 0.05277917, 0.055 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0004 , 0.00416 , 0.00541333, 0.00604 , 0.006416 ,\n 0.00666667, 0.02857714, 0.03500333, 0.04000148, 0.044 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0003 , 0.002625 , 0.0034 , 0.0037875 , 0.00402 ,\n 0.004175 , 0.00428571, 0.01875375, 0.02666833, 0.033 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0002 , 0.00151429, 0.00195238, 0.00217143, 0.00230286,\n 0.00239048, 0.00245306, 0.0025 , 0.01111333, 0.022 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0001 , 0.00066875, 0.00085833, 0.00095312, 0.00101 ,\n 0.00104792, 0.001075 , 0.00109531, 0.00111111, 0.005001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case b 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case b 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case b 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case b 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case b 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case s 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case s 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case s 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case s 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case s 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case sh 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case sh 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hs 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hs 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case h 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case h 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case h 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hommel 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hommel 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_i 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_n 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_n 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_n 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.121, 0.121, 0.121, 0.121, 0.121, 0.121, 0.121, 0.121,\n 0.121, 0.121])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099, 0.1089 , 0.1089 , 0.1089 , 0.1089 , 0.1089 ,\n 0.1089 , 0.1089 , 0.1089 , 0.1089 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00088, 0.044 , 0.0968 , 0.0968 , 0.0968 , 0.0968 ,\n 0.0968 , 0.0968 , 0.0968 , 0.0968 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00077 , 0.0194425 , 0.02566667, 0.0847 , 0.0847 ,\n 0.0847 , 0.0847 , 0.0847 , 0.0847 , 0.0847 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00066 , 0.01122 , 0.01474 , 0.0165 , 0.0660132 ,\n 0.0682088 , 0.06977709, 0.0709533 , 0.07186813, 0.0726 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00044 , 0.005665 , 0.00740667, 0.0082775 , 0.0088 ,\n 0.036674 , 0.04086186, 0.04400275, 0.04644567, 0.0484 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00022 , 0.002288 , 0.00297733, 0.003322 , 0.0035288 ,\n 0.00366667, 0.01571743, 0.01925183, 0.02200081, 0.0242 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00011 , 0.0009625 , 0.00124667, 0.00138875, 0.001474 ,\n 0.00153083, 0.00157143, 0.00687638, 0.00977839, 0.0121 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00011 , 0.00083286, 0.00107381, 0.00119429, 0.00126657,\n 0.00131476, 0.00134918, 0.001375 , 0.00611233, 0.0121 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0011 , 0.00735625, 0.00944167, 0.01048438, 0.01111 ,\n 0.01152708, 0.011825 , 0.01204844, 0.01222222, 0.055011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0011 , 0.0066 , 0.00843333, 0.00935 , 0.0099 ,\n 0.01026667, 0.01052857, 0.010725 , 0.01087778, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0008, 0.04 , 0.088 , 0.088 , 0.088 , 0.088 , 0.088 ,\n 0.088 , 0.088 , 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.017675 , 0.02333333, 0.077 , 0.077 ,\n 0.077 , 0.077 , 0.077 , 0.077 , 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0006 , 0.0102 , 0.0134 , 0.015 , 0.060012 ,\n 0.062008 , 0.06343371, 0.064503 , 0.06533467, 0.066 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0003 , 0.0038625 , 0.00505 , 0.00564375, 0.006 ,\n 0.025005 , 0.02786036, 0.03000187, 0.0316675 , 0.033 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0002 , 0.00208 , 0.00270667, 0.00302 , 0.003208 ,\n 0.00333333, 0.01428857, 0.01750167, 0.02000074, 0.022 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0001 , 0.000875 , 0.00113333, 0.0012625 , 0.00134 ,\n 0.00139167, 0.00142857, 0.00625125, 0.00888944, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0001 , 0.00075714, 0.00097619, 0.00108571, 0.00115143,\n 0.00119524, 0.00122653, 0.00125 , 0.00555667, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_hommel ... ok statsmodels.stats.tests.test_multi.test_fdr_bky ... ok statsmodels.stats.tests.test_multi.test_tukeyhsd ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_exact ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_chisquare ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_vectorized ... ok statsmodels.stats.tests.test_nonparametric.test_symmetry_bowker ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq2 ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq3 ... ok statsmodels.stats.tests.test_nonparametric.test_runstest ... ok statsmodels.stats.tests.test_nonparametric.test_runstest_2sample ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_hochberg_intervals ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_shortcut_function ... ok statsmodels.stats.tests.test_panel_robustcov.test_panel_robust_cov ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_positional ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_power ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_power_plot ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_roots ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_positional ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_power ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_power_plot ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_roots ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_positional ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_power ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_power_plot ... SKIP: skip FTestPower plot_power statsmodels.stats.tests.test_power.TestFtestPower.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_roots ... ok statsmodels.stats.tests.test_power.test_normal_power_explicit ... ok statsmodels.stats.tests.test_power.test_ftest_power ... ok statsmodels.stats.tests.test_power.test_power_solver ... ok statsmodels.stats.tests.test_power.test_power_solver_warn ... ok statsmodels.stats.tests.test_proportion.TestProportion.test_pairwiseproptest ... ok statsmodels.stats.tests.test_proportion.TestProportion.test_proptest ... ok statsmodels.stats.tests.test_proportion.test_confint_proportion ... ok statsmodels.stats.tests.test_proportion.test_samplesize_confidenceinterval_prop ... ok statsmodels.stats.tests.test_proportion.test_proportion_effect_size ... ok statsmodels.stats.tests.test_proportion.test_binom_test ... ok statsmodels.stats.tests.test_proportion.test_binom_rejection_interval ... ok statsmodels.stats.tests.test_proportion.test_binom_tost ... ok statsmodels.stats.tests.test_proportion.test_power_binom_tost ... ok statsmodels.stats.tests.test_proportion.test_power_ztost_prop ... ok statsmodels.stats.tests.test_proportion.test_ztost ... ok statsmodels.stats.tests.test_proportion.test_power_ztost_prop_norm ... ok statsmodels.stats.tests.test_proportion.test_proportion_ztests ... ok statsmodels.stats.tests.test_qsturng.test_qstrung ... ok statsmodels.stats.tests.test_sandwich.test_cov_cluster_2groups ... ok statsmodels.stats.tests.test_sandwich.test_hac_simple ... ok statsmodels.stats.tests.test_statstools.test_durbin_watson ... ok statsmodels.stats.tests.test_statstools.test_omni_normtest ... ok statsmodels.stats.tests.test_statstools.test_omni_normtest_axis ... ok statsmodels.stats.tests.test_statstools.test_jarque_bera ... ok statsmodels.stats.tests.test_statstools.test_shapiro ... ok statsmodels.stats.tests.test_statstools.test_adnorm ... ok statsmodels.stats.tests.test_statstools.test_durbin_watson_pandas ... ok statsmodels.stats.tests.test_tost.TestTosti1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTosti2.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostip1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostip2.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostp1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostp1.test_special ... ok statsmodels.stats.tests.test_tost.TestTostp2.test_pval ... ok statsmodels.stats.tests.test_tost.test_tost_log ... ok statsmodels.stats.tests.test_tost.test_tost_asym ... ok statsmodels.stats.tests.test_tost.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_1 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_2 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_3 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_ddof_tests ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestZTest.test ... ok statsmodels.stats.tests.test_weightstats.test_ttest_ind_with_uneq_var ... ok statsmodels.stats.tests.test_weightstats.test_ztest_ztost ... ok statsmodels.tools.tests.test_catadd.test_add_indep ... ok Fixes GH: #144 ... ok statsmodels.tools.tests.test_data.test_structarray ... ok statsmodels.tools.tests.test_data.test_recarray ... ok statsmodels.tools.tests.test_data.test_dataframe ... ok statsmodels.tools.tests.test_data.test_patsy_577 ... ok statsmodels.tools.tests.test_eval_measures.test_eval_measures ... ok statsmodels.tools.tests.test_eval_measures.test_ic ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestGradLogit.test_hess ... ok statsmodels.tools.tests.test_numdiff.TestGradLogit.test_score ... ok statsmodels.tools.tests.test_numdiff.TestGradMNLogit.test_hess ... ok statsmodels.tools.tests.test_numdiff.TestGradMNLogit.test_score ... ok statsmodels.tools.tests.test_parallel.test_parallel ... ok statsmodels.tools.tests.test_rootfinding.test_brentq_expanding ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2dint ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_11 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_12 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_13 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_14 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_23 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_24 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_25 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_32 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_41 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_66 ... ok test_add_constant_1d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_has_constant1d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_has_constant2d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_list (statsmodels.tools.tests.test_tools.TestTools) ... ok test_extendedpinv (statsmodels.tools.tests.test_tools.TestTools) ... ok test_extendedpinv_singular (statsmodels.tools.tests.test_tools.TestTools) ... ok test_fullrank (statsmodels.tools.tests.test_tools.TestTools) ... ok test_rank (statsmodels.tools.tests.test_tools.TestTools) ... ok test_recipr (statsmodels.tools.tests.test_tools.TestTools) ... ok test_recipr0 (statsmodels.tools.tests.test_tools.TestTools) ... ok statsmodels.tools.tests.test_tools.test_estimable ... ok statsmodels.tools.tests.test_tools.test_rec_issue302 ... ok statsmodels.tools.tests.test_tools.test_issue302 ... ok statsmodels.tools.tests.test_tools.test_pandas_const_series ... ok statsmodels.tools.tests.test_tools.test_pandas_const_series_prepend ... ok statsmodels.tools.tests.test_tools.test_pandas_const_df ... ok statsmodels.tools.tests.test_tools.test_pandas_const_df_prepend ... ok statsmodels.tools.tests.test_tools.test_chain_dot ... ok statsmodels.tsa.base.tests.test_base.test_pandas_nodates_index ... ok statsmodels.tsa.base.tests.test_base.test_predict_freq ... ok statsmodels.tsa.base.tests.test_base.test_keyerror_start_date ... ok statsmodels.tsa.base.tests.test_datetools.test_date_from_idx ... ok statsmodels.tsa.base.tests.test_datetools.test_idx_from_date ... ok statsmodels.tsa.base.tests.test_datetools.test_regex_matching_month ... ok statsmodels.tsa.base.tests.test_datetools.test_regex_matching_quarter ... ok statsmodels.tsa.base.tests.test_datetools.test_dates_from_range ... ok statsmodels.tsa.base.tests.test_datetools.test_infer_freq ... ok Test Baxter King band-pass filter. Results are taken from Stata ... ok Test Baxter-King band-pass filter with 2d input ... ok Test Hodrick-Prescott Filter. Results taken from Stata. ... ok Test Christiano-Fitzgerald Filter. Results taken from R. ... ok statsmodels.tsa.filters.tests.test_filters.test_bking_pandas ... ok statsmodels.tsa.filters.tests.test_filters.test_cfitz_pandas ... ok statsmodels.tsa.filters.tests.test_filters.test_hpfilter_pandas ... ok statsmodels.tsa.interp.tests.test_denton.test_denton_quarterly ... ok statsmodels.tsa.interp.tests.test_denton.test_denton_quarterly2 ... ok statsmodels.tsa.vector_ar.tests.test_svar.TestSVAR.test_A ... ok statsmodels.tsa.vector_ar.tests.test_svar.TestSVAR.test_B ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_acf ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_acorr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_aic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_bic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_causality ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_constructor ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_cov_params ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_cov_ybar ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_detsig ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_cov ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_plot ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_repr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_summary ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_forecast ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_forecast_interval ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fpe ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_get_eq_index ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_hqic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_irf_coefs ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_is_stable ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_lagorder_select ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_loglike ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_ma_rep ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_names ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_nobs ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_params ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_pickle ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_acorr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_cum_effects ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_forecast ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_irf ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_sim ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_pvalues ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_reorder ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_repr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_select_order ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_summary ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_tstat ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_approx_mse ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_cum_irf_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_irf_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_lr_effect_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.test_lutkepohl_parse ... ok statsmodels.tsa.vector_ar.tests.test_var.test_get_trendorder ... ok statsmodels.tsa.tests.test_adfuller_lag.test_adf_autolag ... ok statsmodels.tsa.tests.test_ar.TestARMLEConstant.test_dynamic_predict ... ok statsmodels.tsa.tests.test_ar.TestARMLEConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_bse ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_fpe ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_llf ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_params ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_pickle ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_bse ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_fpe ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_llf ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_params ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_pickle ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAutolagAR.test_ic ... ok statsmodels.tsa.tests.test_ar.test_ar_dates ... ok statsmodels.tsa.tests.test_ar.test_ar_named_series ... ok statsmodels.tsa.tests.test_ar.test_ar_start_params ... ok statsmodels.tsa.tests.test_ar.test_ar_series ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_dynamic_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_freq ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_dynamic_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_freq ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_pickle ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.test_compare_arma ... ok statsmodels.tsa.tests.test_arima.test_reset_trend ... ok statsmodels.tsa.tests.test_arima.test_start_params_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle_dates ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_mle_dates ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css_dates ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_css_dates ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_indices ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_indices ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_indices_css ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css_diffs ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle_diffs ... ok statsmodels.tsa.tests.test_arima.test_arima_wrapper ... ok statsmodels.tsa.tests.test_arima.test_1dexog ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_q2 ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_pandas_nofreq ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_exog ... ok statsmodels.tsa.tests.test_arima.test_arima_no_diff ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_noma ... ok statsmodels.tsa.tests.test_arima.test_arimax ... ok statsmodels.tsa.tests.test_arima.test_bad_start_params ... ok statsmodels.tsa.tests.test_arima.test_arima_small_data_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_dataframe_integer_name ... ok statsmodels.tsa.tests.test_arima.test_arima_exog_predict_1d ... ok statsmodels.tsa.tests.test_arima.test_arima_1123 ... ok statsmodels.tsa.tests.test_arima.test_small_data ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/model.py:402: Warning: Inverting hessian failed, no bse or cov_params available warn(warndoc, Warning) ok statsmodels.tsa.tests.test_arima.test_arima00 ... ok statsmodels.tsa.tests.test_arima_process.test_arma_acovf ... ok statsmodels.tsa.tests.test_arima_process.test_arma_acf ... ok statsmodels.tsa.tests.test_arima_process.test_arma_generate_sample ... ok statsmodels.tsa.tests.test_arima_process.test_fi ... ok statsmodels.tsa.tests.test_arima_process.test_arma_impulse_response ... ok statsmodels.tsa.tests.test_arima_process.test_spectrum ... ok statsmodels.tsa.tests.test_arima_process.test_armafft ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_acf ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_confint ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_qstat ... ok statsmodels.tsa.tests.test_stattools.TestACF_FFT.test_acf ... ok statsmodels.tsa.tests.test_stattools.TestACF_FFT.test_qstat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestCoint_t.test_tstat ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_ld ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_ols ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_yw ... ok statsmodels.tsa.tests.test_stattools.test_grangercausality ... ok statsmodels.tsa.tests.test_stattools.test_pandasacovf ... ok statsmodels.tsa.tests.test_stattools.test_acovf2d ... ok statsmodels.tsa.tests.test_tsa_tools.test_acf ... ok statsmodels.tsa.tests.test_tsa_tools.test_ccf ... ok statsmodels.tsa.tests.test_tsa_tools.test_pacf_yw ... ok statsmodels.tsa.tests.test_tsa_tools.test_pacf_ols ... ok statsmodels.tsa.tests.test_tsa_tools.test_ywcoef ... ok statsmodels.tsa.tests.test_tsa_tools.test_duplication_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_elimination_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_commutation_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_vec ... ok statsmodels.tsa.tests.test_tsa_tools.test_vech ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_insert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert_atend ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsertatend_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d_drop ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d_struct ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_1d_drop_struct ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_drop_insert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_drop_noinsert ... ok ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 149, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC0.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 177, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC1.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 204, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 232, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 259, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 286, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC0.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 314, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC1.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 341, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 368, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 395, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ---------------------------------------------------------------------- Ran 3022 tests in 735.076s FAILED (SKIP=24, failures=10) Optimization terminated successfully. Current function value: 1.792972 Iterations: 386 Function evaluations: 588 joblib not installed. Cannot run in parallel. Optimization terminated successfully. Current function value: 5.327270 Iterations: 355 Function evaluations: 706 dh override_dh_auto_install make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_install make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_install : # Remove compiled due to testing files find debian -name *.pyc -delete : # strip docs/ since they aren't really a Python module, there is -doc for it : # TODO find debian -wholename \*scikits/statsmodels/docs | xargs rm -rf find debian -iname COPYING -o -iname LICENSE* | xargs -r rm -f make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_installdocs make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' : # Use jquery from Debian package, so prune shipped one rm ./build/html/_static/jquery.js rm: cannot remove './build/html/_static/jquery.js': No such file or directory make[1]: [override_dh_installdocs] Error 1 (ignored) dh_installdocs make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_installchangelogs -a dh_installexamples -a dh_installman -a dh_installcatalogs -a dh_installcron -a dh_installdebconf -a dh_installemacsen -a dh_installifupdown -a dh_installinfo -a debian/rules override_dh_pysupport make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' : # Move platform-specific libraries into -lib for lib in $(find debian/python-statsmodels/usr -name '*.so'); do \ sdir=$(dirname $lib) ; \ tdir=debian/python-statsmodels-lib/${sdir#*python-statsmodels/} ; \ mkdir -p $tdir ; \ echo "I: Moving '$lib' into '$tdir'." ; \ mv $lib $tdir ; \ done I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalman_loglike.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_smoothers_lowess.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/linbin.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. if [ -x /usr/bin/dh_numpy ]; then dh_numpy -ppython-statsmodels-lib; fi : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/python-statsmodels/python-scikits.statsmodels/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done dh_pysupport dh_pysupport: This program is deprecated, you should use dh_python2 instead. Migration guide: http://deb.li/dhs2p make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_installinit -a dh_installmenu -a dh_installmime -a dh_installmodules -a dh_installlogcheck -a dh_installlogrotate -a dh_installpam -a dh_installppp -a dh_installudev -a dh_installwm -a dh_installxfonts -a dh_installgsettings -a dh_bugfiles -a dh_ucf -a dh_lintian -a dh_gconf -a dh_icons -a dh_perl -a dh_usrlocal -a dh_link -a debian/rules override_dh_compress make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -X.inv -Xobjects.inv make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_fixperms -a dh_strip -a dh_strip debug symbol extraction: disabling for PPA build dh_strip debug symbol extraction: not doing anything since NO_PKG_MANGLE is given dh_makeshlibs -a dh_shlibdeps -a dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python-statsmodels-lib/usr/lib/pyshared/python2.7/statsmodels/nonparametric/_smoothers_lowess.so debian/python-statsmodels-lib/usr/lib/pyshared/python2.7/statsmodels/nonparametric/linbin.so debian/python-statsmodels-lib/usr/lib/pyshared/python2.7/statsmodels/tsa/kalmanf/kalman_loglike.so were not linked against libpthread.so.0 (they use none of the library's symbols) dh_installdeb -a dh_gencontrol -a dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dpkg-gencontrol: warning: package python-statsmodels-lib: unused substitution variable ${python:Versions} dpkg-gencontrol: warning: package python-statsmodels-lib: unused substitution variable ${python:Provides} dh_md5sums -a dh_builddeb -a INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels-lib/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels-lib' in `../python-statsmodels-lib_0.6.0~ppa18~revno-1505~ubuntu13.04.1_i386.deb'. : # I: Generate documentation : # Build Documentation -- assure existence of build/html for nodoc mkdir -p build/html touch doc-stamp dh binary-indep dh_testroot -i dh_prep -i dh_installdirs -i debian/rules override_dh_auto_install make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' python2.7 setup.py install --install-layout=deb --root=debian/python-statsmodels running install running build running build_py copying statsmodels/version.py -> build/lib.linux-i686-2.7/statsmodels package init file 'statsmodels/tsa/vector_ar/data/__init__.py' not found (or not a regular file) running egg_info writing statsmodels.egg-info/PKG-INFO writing top-level names to statsmodels.egg-info/top_level.txt writing dependency_links to statsmodels.egg-info/dependency_links.txt reading manifest file 'statsmodels.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no previously-included files matching '*' found under directory 'dist' warning: no previously-included files found matching 'docs/source/generated/*' warning: no previously-included files matching '*' found under directory 'docs/build' warning: no previously-included files matching '*' found under directory 'docs/build/htmlhelp' warning: no files found matching 'statsmodels/statsmodelsdoc.chm' warning: no files found matching 'statsmodels/sandbox/panel/test_data.txt' warning: no files found matching 'statsmodels/stats/libqsturng/tests/results/*' warning: no files found matching 'statsmodels/stats/libqsturng/tests/bootleg.csv' warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution warning: no previously-included files matching '*.pyc' found anywhere in distribution warning: no previously-included files matching '*.bak' found anywhere in distribution writing manifest file 'statsmodels.egg-info/SOURCES.txt' running build_ext skipping 'statsmodels/tsa/kalmanf/kalman_loglike.c' Cython extension (up-to-date) skipping 'statsmodels/nonparametric/_smoothers_lowess.c' Cython extension (up-to-date) skipping 'statsmodels/nonparametric/linbin.c' Cython extension (up-to-date) running install_lib creating debian/python-statsmodels/usr creating debian/python-statsmodels/usr/lib creating debian/python-statsmodels/usr/lib/python2.7 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels copying build/lib.linux-i686-2.7/statsmodels/LICENSE.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/cox.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/rlsdata.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/descstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/rls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/bspline.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/datarich/factormodels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/datarich/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-i686-2.7/statsmodels/sandbox/infotheo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/multilinear.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/km_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/contrast_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/survival.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/estimators.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/transformed.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/otherdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/genpareto.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/multivariate.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/testtransf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/distparams.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/test_multivariate.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/_est_fit.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/check_moments.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/tests/test_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/gof_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/copula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_transf2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/matchdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_fitfr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/mv_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/sppatch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/try_max.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/quantize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/try_pot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/mv_normal.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-i686-2.7/statsmodels/sandbox/distributions/transform_functions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/maketests_mlabwrap.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/model_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/GreeneEx15_1.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/datamlw.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_bspline.py.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/test_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/savervs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/macrodata.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/tests/sysreg.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-i686-2.7/statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_gam_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/findow_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/try_interchange.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/thirdparty/findow_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_maxent.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_re.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_crossval.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_multiols.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_cusum.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_kaplan_meier.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_formula_factor.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/bayesprior.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/gspc_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_pca_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_nbin.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/dji_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/try_quantile_regression1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/example_garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/examples/ex_gam_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/survival2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/tools_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/mctools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/TODO.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/cross_val.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-i686-2.7/statsmodels/sandbox/tools/try_mctools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/panel_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/correlation_structures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/mixed.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/tests/test_random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/sandwich_covariance_generic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/panel/panelmod.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-i686-2.7/statsmodels/sandbox/gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/linalg_decomp_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/linalg_covmat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/archive/tsa.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-i686-2.7/statsmodels/sandbox/formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/kernridgeregress_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_treewalker.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_ols_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/penalized.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/ar_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/predstd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/runmnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/anova_nistcertified.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/treewalkerclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/sympy_diff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/try_catdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/ols_anova_original.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/example_kernridge.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/gmm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs03.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs04.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/Longley.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/AtmWtAg.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs05.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs01.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs08.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs09.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SiRstv.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs07.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs02.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/data/SmLs06.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/data copying build/lib.linux-i686-2.7/statsmodels/sandbox/regression/notes_runmnl.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/runs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/ex_newtests.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/stats_mstats_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/contrast_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/notes_fdr.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/stats_dhuard.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-i686-2.7/statsmodels/sandbox/sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-i686-2.7/statsmodels/sandbox/utils_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_arma_more.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/varma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/movstat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/fftarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/notes_organize.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_var_convolve.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/example_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/diffusion2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/ex_mle_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/try_ld_nitime.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/ex_mle_garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/examples/example_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/diffusion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/tsa/try_fi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-i686-2.7/statsmodels/sandbox/pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/testdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/densityorthopoly.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kernel_extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kde2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/dgp_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-i686-2.7/statsmodels/sandbox/nonparametric/kdecovclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/counter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/iter_compat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/ordereddict.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/test_collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/tests/test_itercompat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-i686-2.7/statsmodels/compatnp/np_compat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/compatnp/py3k.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-i686-2.7/statsmodels/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-i686-2.7/statsmodels/formula/formulatools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-i686-2.7/statsmodels/formula/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-i686-2.7/statsmodels/formula/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-i686-2.7/statsmodels/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/test_mixture.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/tests/test_ecdf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-i686-2.7/statsmodels/distributions/empirical_distribution.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-i686-2.7/statsmodels/distributions/mixture_rvs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/rmodelwrap.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/R_lbw.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/gaussinvlinkdata.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancer_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/gaussinvlink_resids.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/glm_gaussian_log_resid.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancerdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/results/cancerident_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-i686-2.7/statsmodels/tests/coverage_sm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/R_ig.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-i686-2.7/statsmodels/tests/check_for_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-i686-2.7/statsmodels/discrete/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/test_discrete.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/mnlogit_resid.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/poisson_resid.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/phat_mnlogit.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/nbinom_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/mn_logit_summary.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/results_discrete.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/predict_prob_poisson.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/yhat_mnlogit.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/tests/results/yhat_poisson.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results copying build/lib.linux-i686-2.7/statsmodels/discrete/discrete_margins.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-i686-2.7/statsmodels/discrete/discrete_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling copying build/lib.linux-i686-2.7/statsmodels/resampling/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_shrink_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_generic_methods.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_optimize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-i686-2.7/statsmodels/base/l1_slsqp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/wrapper.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/l1_solvers_common.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-i686-2.7/statsmodels/base/l1_cvxopt.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_arch_canada.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_misc_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_functional_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pandas.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_nearest_corr.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_enhanced_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/tut_ols_ancova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_discrete_mnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_multivar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_tukey_hsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_test_functional_li_wang.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/t_est_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_univar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_sigtest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_feasible_gls_het.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_shrink_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_gof_chisquare.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/example_ols_minimal_comp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_ols_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_grangercausality.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_polytrend.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_power2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_feasible_gls_het_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/try_2regress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_semilinear_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/tut_ols_rlm_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle_tdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_emplike_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_singleindex_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_misc_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/arma_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/compare_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/try_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_var_reorder.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_arma_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/lagpolynomial.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_coint.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ar1cholesky.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/tsa/ex_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-i686-2.7/statsmodels/examples/ex_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_kernel_regression_censored2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/es_misc_poisson2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/sklearn_compare.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/demo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/l1_demo/short_demo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo copying build/lib.linux-i686-2.7/statsmodels/examples/ex_generic_mle_t.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_scatter_ellipse.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-i686-2.7/statsmodels/examples/ex_pareto_plot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/grouputils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/print_version.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_eval_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-i686-2.7/statsmodels/tools/sm_exceptions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/wrappers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/compatibility.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/decorators.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/eval_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/dump2module.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/tools/linalg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-i686-2.7/statsmodels/info.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface copying build/lib.linux-i686-2.7/statsmodels/interface/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod copying build/lib.linux-i686-2.7/statsmodels/genmod/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/igaussident_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_cancer_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_lbw_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/results_glm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/iris.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/glm_test_resids.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/inv_gaussian.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/results/medparlogresids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results copying build/lib.linux-i686-2.7/statsmodels/genmod/tests/test_glm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/links.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/family.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/families/varfuncs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-i686-2.7/statsmodels/genmod/generalized_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod copying build/lib.linux-i686-2.7/statsmodels/version.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-i686-2.7/statsmodels/regression/quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_cov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_glsar_stata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_glsar_gretl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/macro_gr_corc_stata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/results_macro_ols_robust.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results copying build/lib.linux-i686-2.7/statsmodels/regression/tests/results_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-i686-2.7/statsmodels/regression/feasible_gls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/plottools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/tukeyplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_mosaicplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/tests/test_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-i686-2.7/statsmodels/graphics/mosaicplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/plot_grids.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-i686-2.7/statsmodels/graphics/boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/results_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_generic_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_poisson.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tests/test_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-i686-2.7/statsmodels/miscmodels/try_mlecov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/count.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/miscmodels/nonlinls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-i686-2.7/statsmodels/TODO.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/LICENSE.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/test_qsturng.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/tests/bootleg.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/make_tbls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/CH.r -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/libqsturng/qsturng_.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-i686-2.7/statsmodels/stats/anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_data.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_tost.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_statstools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_nonparametric.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_multi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_qsturng.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_measures_R.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_panelrobust.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/results_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_lsdiag_R.json -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/bootleg.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/results/influence_measures_bool_R.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_groups_sw.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_panel_robustcov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_moment_helpers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_corrpsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/tests/test_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-i686-2.7/statsmodels/stats/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/adnorm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/correlation_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/multitest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/tabledist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/moment_helpers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-i686-2.7/statsmodels/stats/lilliefors.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/varma_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arima_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arima_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/setup.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_tsa_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_adfuller_lag.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_arima_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_arima.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/test_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/make_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arma_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima212_forecast.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/datamlw_tls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_css_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_css_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_exact_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_corrgram.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_css_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/savedrvs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_exact_nc.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_exact_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/yhat_exact_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112nc_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/resids_css_c.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima111_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima112_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/arima211nc_css_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/y_arma_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/test_base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tests/test_datetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/base/datetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/base/tsa_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-i686-2.7/statsmodels/tsa/tsatools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/hp_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/tests/test_filters.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/filtertools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/bk_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-i686-2.7/statsmodels/tsa/filters/cf_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/kalmanfilter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/kalmanf/kalman_loglike.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-i686-2.7/statsmodels/tsa/mlemodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/ar_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/adfvalues.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/arma_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/tests/test_denton.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/interp/denton.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/output.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/irf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/test_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/example_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_svar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/results/results_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/tests/test_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/svar_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/util.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/var_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/plotting.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/dynamic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e2.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e3.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e6.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e4.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e1.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/vector_ar/data/e5.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/data copying build/lib.linux-i686-2.7/statsmodels/tsa/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-i686-2.7/statsmodels/tsa/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/foreign.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/smpickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/tableformatting.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/stata_summary_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_summary_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_foreign.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/data_missing.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/macrodata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/macrodata.npy_ -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/results/time_series_examples.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/stata_dates.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_table_econpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/tests/test_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-i686-2.7/statsmodels/iolib/table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/summary2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/iolib/notes_table_update.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-i686-2.7/statsmodels/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/koul_and_mc.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/elanova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/heartdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/elregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_descriptive.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/results/el_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_aft.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/tests/test_origin.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-i686-2.7/statsmodels/emplike/aft_el.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/descriptive.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/originregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-i686-2.7/statsmodels/emplike/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/norms.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/scale.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-i686-2.7/statsmodels/robust/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/results/results_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results copying build/lib.linux-i686-2.7/statsmodels/robust/tests/test_scale.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/tests/test_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-i686-2.7/statsmodels/robust/robust_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-i686-2.7/statsmodels/datasets/cancer/cancer.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/committee.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/src copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/src/committee.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/src copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-i686-2.7/statsmodels/datasets/committee/R_committee.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/strikes/strikes.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-i686-2.7/statsmodels/datasets/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src/names.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/src/ccard.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/src copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/ccard.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-i686-2.7/statsmodels/datasets/ccard/R_wls.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/scotvote.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotvote.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland.readme -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_population.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotvote.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_births.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_education.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_population.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_devolution.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_econ_summary.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_changes.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_economics.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/src/scotland_housing.html -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/src copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-i686-2.7/statsmodels/datasets/scotland/R_scotvote.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/src copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/src/anes96.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/src copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/anes96.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-i686-2.7/statsmodels/datasets/anes96/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/stackloss.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-i686-2.7/statsmodels/datasets/stackloss/R_stackloss.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-i686-2.7/statsmodels/datasets/spector/spector.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src/sunspots_monthly.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/src/sunspots_yearly.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/src copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/arima_mod.R -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/sunspots.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-i686-2.7/statsmodels/datasets/sunspots/R_sunspots.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/test_utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,doc,car,rst,Duncan.rst.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,csv,car,Duncan.csv.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-i686-2.7/statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,datasets.csv.zip -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/src copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/src/elnino.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/src copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino copying build/lib.linux-i686-2.7/statsmodels/datasets/elnino/elnino.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-i686-2.7/statsmodels/datasets/nile/nile.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star.bi.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star98.names -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/src/star98.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/src copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/r_glm.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-i686-2.7/statsmodels/datasets/star98/star98.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/src copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/src/TableF18-2.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/src copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice copying build/lib.linux-i686-2.7/statsmodels/datasets/modechoice/modechoice.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/macrodata.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/unemp.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src/macrodata.xls copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/src/macrodata.xls copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/macrodata/macrodata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-i686-2.7/statsmodels/datasets/template_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets copying build/lib.linux-i686-2.7/statsmodels/datasets/README.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets copying build/lib.linux-i686-2.7/statsmodels/datasets/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/src copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/src/cpunish.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/src copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/cpunish.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-i686-2.7/statsmodels/datasets/cpunish/R_cpunish.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src/randdesc.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/src/randhie.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/src copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie copying build/lib.linux-i686-2.7/statsmodels/datasets/randhie/randhie.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-i686-2.7/statsmodels/datasets/heart/heart.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/copper.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/src copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/src/copper.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/src copying build/lib.linux-i686-2.7/statsmodels/datasets/copper/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/engel/engel.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-i686-2.7/statsmodels/datasets/COPYING -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/src copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/src/1978ADAT.asc -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/src copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-i686-2.7/statsmodels/datasets/fair/fair.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/R_lm.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/longley.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-i686-2.7/statsmodels/datasets/longley/R_gls.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/src copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/src/grunfeld.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/src copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-i686-2.7/statsmodels/datasets/grunfeld/grunfeld.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-i686-2.7/statsmodels/datasets/statecrime/statecrime.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/_kernel_base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernel_density.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kdetools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/Xi_test_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kernel_density.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde_fft.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/results/results_kde_weights.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results copying build/lib.linux-i686-2.7/statsmodels/nonparametric/tests/test_kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-i686-2.7/statsmodels/nonparametric/smoothers_lowess_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/bandwidths.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/_smoothers_lowess.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/linbin.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-i686-2.7/statsmodels/nonparametric/smoothers_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/cox.py to cox.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/descstats.py to descstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/rls.py to rls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/bspline.py to bspline.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich/factormodels.py to factormodels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/infotheo.py to infotheo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/multilinear.py to multilinear.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mle.py to mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/km_class.py to km_class.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/contrast_old.py to contrast_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/survival.py to survival.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/estimators.py to estimators.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/transformed.py to transformed.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/otherdist.py to otherdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/genpareto.py to genpareto.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/multivariate.py to multivariate.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/extras.py to extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/testtransf.py to testtransf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/distparams.py to distparams.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py to test_multivariate.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/_est_fit.py to _est_fit.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/check_moments.py to check_moments.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py to test_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/gof_new.py to gof_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/copula.py to copula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_transf2.py to ex_transf2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_gof.py to ex_gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/matchdist.py to matchdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_fitfr.py to ex_fitfr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/examples/ex_mvelliptical.py to ex_mvelliptical.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/mv_measures.py to mv_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/sppatch.py to sppatch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/try_max.py to try_max.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/quantize.py to quantize.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/try_pot.py to try_pot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/mv_normal.py to mv_normal.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions/transform_functions.py to transform_functions.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/maketests_mlabwrap.py to maketests_mlabwrap.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/model_results.py to model_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/datamlw.py to datamlw.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_pca.py to test_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_formula.py to test_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/test_gam.py to test_gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests/savervs.py to savervs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate/arma.py to arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_0.py to ex_mixed_lls_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/run_all.py to run_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_gam_0.py to example_gam_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/findow_1.py to findow_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/try_interchange.py to try_interchange.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py to ex_ratereturn.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/thirdparty/findow_0.py to findow_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_maxent.py to example_maxent.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_re.py to ex_mixed_lls_re.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_crossval.py to example_crossval.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_multiols.py to try_multiols.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_cusum.py to ex_cusum.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_gam.py to example_gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_pca.py to example_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_kaplan_meier.py to ex_kaplan_meier.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_smoothers.py to try_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_formula_factor.py to ex_formula_factor.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/bayesprior.py to bayesprior.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_quantile_regression.py to try_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py to ex_mixed_lls_timecorr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_sysreg.py to example_sysreg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_pca_regression.py to example_pca_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_nbin.py to example_nbin.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/try_quantile_regression1.py to try_quantile_regression1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_formula.py to ex_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_mle.py to example_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_onewaygls.py to ex_onewaygls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_random_panel.py to ex_random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/example_garch.py to example_garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples/ex_gam_results.py to ex_gam_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/survival2.py to survival2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/tools_pca.py to tools_pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/mctools.py to mctools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/cross_val.py to cross_val.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools/try_mctools.py to try_mctools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/panel_short.py to panel_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/correlation_structures.py to correlation_structures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/mixed.py to mixed.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py to test_random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/sandwich_covariance.py to sandwich_covariance.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/sandwich_covariance_generic.py to sandwich_covariance_generic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/random_panel.py to random_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel/panelmod.py to panelmod.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/gam.py to gam.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/linalg_decomp_1.py to linalg_decomp_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/linalg_covmat.py to linalg_covmat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive/tsa.py to tsa.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/formula.py to formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/kernridgeregress_class.py to kernridgeregress_class.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_treewalker.py to try_treewalker.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_ols_anova.py to try_ols_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/penalized.py to penalized.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/ar_panel.py to ar_panel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/predstd.py to predstd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/runmnl.py to runmnl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/anova_nistcertified.py to anova_nistcertified.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/tools.py to tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/onewaygls.py to onewaygls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/treewalkerclass.py to treewalkerclass.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/sympy_diff.py to sympy_diff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/try_catdata.py to try_catdata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/ols_anova_original.py to ols_anova_original.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/example_kernridge.py to example_kernridge.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression/gmm.py to gmm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/runs.py to runs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/ex_newtests.py to ex_newtests.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/stats_mstats_short.py to stats_mstats_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/contrast_tools.py to contrast_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/stats_dhuard.py to stats_dhuard.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/multicomp.py to multicomp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats/diagnostic.py to diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/sysreg.py to sysreg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/utils_old.py to utils_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_arma_more.py to try_arma_more.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/garch.py to garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/varma.py to varma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/movstat.py to movstat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/fftarma.py to fftarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_var_convolve.py to try_var_convolve.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/example_arma.py to example_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/diffusion2.py to diffusion2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/ex_mle_arma.py to ex_mle_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/try_ld_nitime.py to try_ld_nitime.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/ex_mle_garch.py to ex_mle_garch.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/examples/example_var.py to example_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/diffusion.py to diffusion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa/try_fi.py to try_fi.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/pca.py to pca.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/testdata.py to testdata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kernels.py to kernels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/densityorthopoly.py to densityorthopoly.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py to test_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py to ex_smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py to ex_gam_am_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py to ex_gam_new.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py to test_kernel_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kernel_extras.py to kernel_extras.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kde2.py to kde2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/dgp_examples.py to dgp_examples.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/smoothers.py to smoothers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/kdecovclass.py to kdecovclass.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/counter.py to counter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/iter_compat.py to iter_compat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/ordereddict.py to ordereddict.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/test_collections.py to test_collections.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests/test_itercompat.py to test_itercompat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/np_compat.py to np_compat.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/collections.py to collections.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/py3k.py to py3k.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/formulatools.py to formulatools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests/test_formula.py to test_formula.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/test_mixture.py to test_mixture.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests/test_ecdf.py to test_ecdf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/empirical_distribution.py to empirical_distribution.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/mixture_rvs.py to mixture_rvs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/rmodelwrap.py to rmodelwrap.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/coverage_sm.py to coverage_sm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/check_for_rpy.py to check_for_rpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py to test_discrete.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/results/results_discrete.py to results_discrete.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/discrete_margins.py to discrete_margins.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/discrete_model.py to discrete_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/resampling/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_shrink_pickle.py to test_shrink_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_generic_methods.py to test_generic_methods.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_optimize.py to test_optimize.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests/test_data.py to test_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_slsqp.py to l1_slsqp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/model.py to model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/wrapper.py to wrapper.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_solvers_common.py to l1_solvers_common.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/l1_cvxopt.py to l1_cvxopt.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_arch_canada.py to ex_arch_canada.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_2.py to ex_emplike_2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression2.py to ex_kernel_regression2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/run_all.py to run_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_outliers_influence.py to ex_outliers_influence.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_misc_tmodel.py to ex_misc_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_functional_plots.py to example_functional_plots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pandas.py to ex_pandas.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_power.py to try_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_regressionplots.py to ex_regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_nearest_corr.py to ex_nearest_corr.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich2.py to ex_sandwich2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_enhanced_boxplots.py to example_enhanced_boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tut_ols_ancova.py to tut_ols_ancova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_dgp.py to ex_kernel_regression_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_discrete_mnl.py to example_discrete_mnl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression.py to ex_kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_multivar_kde.py to ex_multivar_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_tukey_hsd.py to try_tukey_hsd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_test_functional_li_wang.py to ex_kernel_test_functional_li_wang.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_3.py to ex_emplike_3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/t_est_rlm.py to t_est_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_kde.py to example_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_test_functional.py to ex_kernel_test_functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_univar_kde.py to ex_univar_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_lowess.py to ex_lowess.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_sigtest.py to ex_kernel_regression_sigtest.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich3.py to ex_sandwich3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_feasible_gls_het.py to ex_feasible_gls_het.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_shrink_pickle.py to ex_shrink_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_rpy.py to example_rpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle.py to ex_generic_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_inter_rater.py to ex_inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_gof_chisquare.py to try_gof_chisquare.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/example_ols_minimal_comp.py to example_ols_minimal_comp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_ols_robustcov.py to ex_ols_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_grangercausality.py to ex_grangercausality.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_polytrend.py to try_polytrend.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_power2.py to try_power2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_feasible_gls_het_0.py to ex_feasible_gls_het_0.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/try_2regress.py to try_2regress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_semilinear_dgp.py to ex_kernel_semilinear_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tut_ols_rlm_short.py to tut_ols_rlm_short.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle_tdist.py to ex_generic_mle_tdist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression3.py to ex_kernel_regression3.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pairwise.py to ex_pairwise.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_emplike_1.py to ex_emplike_1.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_rootfinding.py to ex_rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_singleindex_dgp.py to ex_kernel_singleindex_dgp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_misc_tarma.py to ex_misc_tarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_sandwich.py to ex_sandwich.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_var.py to ex_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/arma_plots.py to arma_plots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/compare_arma.py to compare_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/try_ar.py to try_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_var_reorder.py to ex_var_reorder.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_arma_all.py to ex_arma_all.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/lagpolynomial.py to lagpolynomial.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_coint.py to ex_coint.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ar1cholesky.py to ar1cholesky.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa/ex_arma.py to ex_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_proportion.py to ex_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_kernel_regression_censored2.py to ex_kernel_regression_censored2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/es_misc_poisson2.py to es_misc_poisson2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/sklearn_compare.py to sklearn_compare.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/demo.py to demo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/l1_demo/short_demo.py to short_demo.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_generic_mle_t.py to ex_generic_mle_t.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_scatter_ellipse.py to ex_scatter_ellipse.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/ex_pareto_plot.py to ex_pareto_plot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/parallel.py to parallel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/grouputils.py to grouputils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/rootfinding.py to rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/print_version.py to print_version.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_numdiff.py to test_numdiff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_rootfinding.py to test_rootfinding.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_catadd.py to test_catadd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_parallel.py to test_parallel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_tools.py to test_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_eval_measures.py to test_eval_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests/test_data.py to test_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/sm_exceptions.py to sm_exceptions.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/wrappers.py to wrappers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tools.py to tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/compatibility.py to compatibility.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/decorators.py to decorators.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/catadd.py to catadd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/eval_measures.py to eval_measures.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/dump2module.py to dump2module.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/numdiff.py to numdiff.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/linalg.py to linalg.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/info.py to info.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/results_glm.py to results_glm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/results/glm_test_resids.py to glm_test_resids.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests/test_glm.py to test_glm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/links.py to links.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/family.py to family.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families/varfuncs.py to varfuncs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/generalized_linear_model.py to generalized_linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/version.py to version.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/linear_model.py to linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/quantile_regression.py to quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_cov.py to test_cov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_glsar_stata.py to test_glsar_stata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_glsar_gretl.py to test_glsar_gretl.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/macro_gr_corc_stata.py to macro_gr_corc_stata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py to results_grunfeld_ols_robust_cluster.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_regression.py to results_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results/results_macro_ols_robust.py to results_macro_ols_robust.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/results_quantile_regression.py to results_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_robustcov.py to test_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_quantile_regression.py to test_quantile_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests/test_regression.py to test_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/feasible_gls.py to feasible_gls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/functional.py to functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/plottools.py to plottools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tsaplots.py to tsaplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/regressionplots.py to regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tukeyplot.py to tukeyplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_factorplots.py to test_factorplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_tsaplots.py to test_tsaplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_boxplots.py to test_boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_mosaicplot.py to test_mosaicplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_functional.py to test_functional.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_correlation.py to test_correlation.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_gofplots.py to test_gofplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests/test_regressionplots.py to test_regressionplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/mosaicplot.py to mosaicplot.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/correlation.py to correlation.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/plot_grids.py to plot_grids.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/factorplots.py to factorplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/gofplots.py to gofplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/boxplots.py to boxplots.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/results_tmodel.py to results_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_tmodel.py to test_tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_generic_mle.py to test_generic_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_poisson.py to test_poisson.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests/test_tarma.py to test_tarma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/try_mlecov.py to try_mlecov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/count.py to count.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tmodel.py to tmodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/nonlinls.py to nonlinls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py to test_qsturng.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/make_tbls.py to make_tbls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng/qsturng_.py to qsturng_.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py to anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/base.py to base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/descriptivestats.py to descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py to test_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_contrast.py to test_contrast.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_descriptivestats.py to test_descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_tost.py to test_tost.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_sandwich.py to test_sandwich.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_statstools.py to test_statstools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_weightstats.py to test_weightstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_diagnostic.py to test_diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_nonparametric.py to test_nonparametric.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_proportion.py to test_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_multi.py to test_multi.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_qsturng.py to test_qsturng.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_power.py to results_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_panelrobust.py to results_panelrobust.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/results/results_proportion.py to results_proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_power.py to test_power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_groups_sw.py to test_groups_sw.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_panel_robustcov.py to test_panel_robustcov.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_inter_rater.py to test_inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_gof.py to test_gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_moment_helpers.py to test_moment_helpers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_corrpsd.py to test_corrpsd.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_pairwise.py to test_pairwise.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/sandwich_covariance.py to sandwich_covariance.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/adnorm.py to adnorm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/power.py to power.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/gof.py to gof.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/correlation_tools.py to correlation_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/outliers_influence.py to outliers_influence.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/multitest.py to multitest.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/inter_rater.py to inter_rater.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/contrast.py to contrast.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tabledist.py to tabledist.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/multicomp.py to multicomp.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/weightstats.py to weightstats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/moment_helpers.py to moment_helpers.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/diagnostic.py to diagnostic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/stattools.py to stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/proportion.py to proportion.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/lilliefors.py to lilliefors.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/varma_process.py to varma_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arima_model.py to arima_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arima_process.py to arima_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/setup.py to setup.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/descriptivestats.py to descriptivestats.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_tsa_tools.py to test_tsa_tools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_adfuller_lag.py to test_adfuller_lag.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_arima_process.py to test_arima_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_stattools.py to test_stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_arima.py to test_arima.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/test_ar.py to test_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_process.py to results_process.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111nc_results.py to arima111nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/make_arma.py to make_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112nc_css_results.py to arima112nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/datamlw_tls.py to datamlw_tls.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_arima.py to results_arima.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112_css_results.py to arima112_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/savedrvs.py to savedrvs.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211_css_results.py to arima211_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211nc_results.py to arima211nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_ar.py to results_ar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111nc_css_results.py to arima111nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111_results.py to arima111_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112nc_results.py to arima112nc_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima111_css_results.py to arima111_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211_results.py to arima211_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/results_arma.py to results_arma.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima112_results.py to arima112_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests/results/arima211nc_css_results.py to arima211nc_css_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/test_base.py to test_base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests/test_datetools.py to test_datetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/datetools.py to datetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tsa_model.py to tsa_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tsatools.py to tsatools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/hp_filter.py to hp_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/tests/test_filters.py to test_filters.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/filtertools.py to filtertools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/bk_filter.py to bk_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters/cf_filter.py to cf_filter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalmanfilter.py to kalmanfilter.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/mlemodel.py to mlemodel.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/ar_model.py to ar_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/adfvalues.py to adfvalues.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/arma_mle.py to arma_mle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests/test_denton.py to test_denton.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/denton.py to denton.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/output.py to output.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/irf.py to irf.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/test_svar.py to test_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/example_svar.py to example_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_var_data.py to results_var_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_svar.py to results_svar.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/results/results_var.py to results_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/tests/test_var.py to test_var.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/svar_model.py to svar_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/util.py to util.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/var_model.py to var_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/plotting.py to plotting.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/dynamic.py to dynamic.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/stattools.py to stattools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/summary.py to summary.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/foreign.py to foreign.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/smpickle.py to smpickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tableformatting.py to tableformatting.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/stata_summary_examples.py to stata_summary_examples.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_summary_old.py to test_summary_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_table.py to test_table.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_foreign.py to test_foreign.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/results/macrodata.py to macrodata.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_summary.py to test_summary.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_table_econpy.py to test_table_econpy.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests/test_pickle.py to test_pickle.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/table.py to table.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/summary2.py to summary2.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/koul_and_mc.py to koul_and_mc.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/elanova.py to elanova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/elregress.py to elregress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_anova.py to test_anova.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_descriptive.py to test_descriptive.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/results/el_results.py to el_results.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_aft.py to test_aft.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_regression.py to test_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_origin.py to test_origin.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/aft_el.py to aft_el.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/descriptive.py to descriptive.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/originregress.py to originregress.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/norms.py to norms.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/scale.py to scale.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/results/results_rlm.py to results_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/test_scale.py to test_scale.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests/test_rlm.py to test_rlm.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/robust_linear_model.py to robust_linear_model.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests/test_utils.py to test_utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/modechoice/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/template_data.py to template_data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/utils.py to utils.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime/data.py to data.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_kernel_base.py to _kernel_base.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernels.py to kernels.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernel_density.py to kernel_density.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kdetools.py to kdetools.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kde.py to test_kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py to test_kernel_density.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_lowess.py to test_lowess.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/results/__init__.py to __init__.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests/test_kernel_regression.py to test_kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/smoothers_lowess_old.py to smoothers_lowess_old.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/bandwidths.py to bandwidths.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kernel_regression.py to kernel_regression.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/api.py to api.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/kde.py to kde.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/smoothers_lowess.py to smoothers_lowess.pyc running install_egg_info Copying statsmodels.egg-info to debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels-0.6.0.egg-info running install_scripts : # Run unittests here against installed statsmodels cd build/ && \ PYTHONPATH=`/bin/ls -d /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/*/` \ MPLCONFIGDIR=/build/buildd/statsmodels-0.6.0~ppa18~revno/build \ python2.7 /usr/bin/nosetests -s -v statsmodels || : /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar/var_model.py:339: FutureWarning: The names argument is deprecated and will be removed in the next release. "removed in the next release.", FutureWarning) statsmodels.base.tests.test_data.TestArrayDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestArrayDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestArrays.test_attach ... ok statsmodels.base.tests.test_data.TestArrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays.test_labels ... ok statsmodels.base.tests.test_data.TestArrays.test_names ... ok statsmodels.base.tests.test_data.TestArrays.test_orig ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_attach ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_labels ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_names ... ok statsmodels.base.tests.test_data.TestArrays1dExog.test_orig ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_attach ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_endogexog ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_labels ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_names ... ok statsmodels.base.tests.test_data.TestArrays2dEndog.test_orig ... ok statsmodels.base.tests.test_data.TestConstant.test_array_constant ... ok statsmodels.base.tests.test_data.TestConstant.test_array_noconstant ... ok statsmodels.base.tests.test_data.TestConstant.test_pandas_constant ... ok statsmodels.base.tests.test_data.TestConstant.test_pandas_noconstant ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_names ... ok statsmodels.base.tests.test_data.TestDataFrameArray.test_orig ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_names ... ok statsmodels.base.tests.test_data.TestDataFrameList.test_orig ... ok statsmodels.base.tests.test_data.TestDataFrames.test_attach ... ok statsmodels.base.tests.test_data.TestDataFrames.test_endogexog ... ok statsmodels.base.tests.test_data.TestDataFrames.test_labels ... ok statsmodels.base.tests.test_data.TestDataFrames.test_names ... ok statsmodels.base.tests.test_data.TestDataFrames.test_orig ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestListDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestLists.test_attach ... ok statsmodels.base.tests.test_data.TestLists.test_endogexog ... ok statsmodels.base.tests.test_data.TestLists.test_labels ... ok statsmodels.base.tests.test_data.TestLists.test_names ... ok statsmodels.base.tests.test_data.TestLists.test_orig ... ok statsmodels.base.tests.test_data.TestMissingArray.test_drop ... ok statsmodels.base.tests.test_data.TestMissingArray.test_endog_only_drop ... ok statsmodels.base.tests.test_data.TestMissingArray.test_endog_only_raise ... ok statsmodels.base.tests.test_data.TestMissingArray.test_extra_kwargs_1d ... ok statsmodels.base.tests.test_data.TestMissingArray.test_extra_kwargs_2d ... ok statsmodels.base.tests.test_data.TestMissingArray.test_mv_endog ... ok statsmodels.base.tests.test_data.TestMissingArray.test_none ... ok statsmodels.base.tests.test_data.TestMissingArray.test_raise ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_drop ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_endog_only_drop ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_endog_only_raise ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_labels ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_mv_endog ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_none ... ok statsmodels.base.tests.test_data.TestMissingPandas.test_raise ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_attach ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_labels ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_names ... ok statsmodels.base.tests.test_data.TestMultipleEqsArrays.test_orig ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_attach ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_endogexog ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_labels ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_names ... ok statsmodels.base.tests.test_data.TestMultipleEqsDataFrames.test_orig ... ok statsmodels.base.tests.test_data.TestRecarrays.test_attach ... ok statsmodels.base.tests.test_data.TestRecarrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestRecarrays.test_labels ... ok statsmodels.base.tests.test_data.TestRecarrays.test_names ... ok statsmodels.base.tests.test_data.TestRecarrays.test_orig ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_attach ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_endogexog ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_labels ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_names ... ok statsmodels.base.tests.test_data.TestSeriesDataFrame.test_orig ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_attach ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_endogexog ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_labels ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_names ... ok statsmodels.base.tests.test_data.TestSeriesSeries.test_orig ... ok statsmodels.base.tests.test_data.TestStructarrays.test_attach ... ok statsmodels.base.tests.test_data.TestStructarrays.test_endogexog ... ok statsmodels.base.tests.test_data.TestStructarrays.test_labels ... ok statsmodels.base.tests.test_data.TestStructarrays.test_names ... ok statsmodels.base.tests.test_data.TestStructarrays.test_orig ... ok Fix Issue #206 ... ok statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericGLM.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericLogit.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericNegativeBinomial.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericOLS.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_fitted ... SKIP statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericPoisson.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericRLM.test_ttest_tvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_fitted ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_ftest_pvalues ... ok statsmodels.base.tests.test_generic_methods.TestGenericWLS.test_ttest_tvalues ... ok statsmodels.base.tests.test_optimize.test_full_output_false ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleGLM.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleLogit.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleNegativeBinomial.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleOLS.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPicklePoisson.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleRLM.test_remove_data_pickle ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_pickle_wrapper ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_remove_data_docstring ... ok statsmodels.base.tests.test_shrink_pickle.TestRemoveDataPickleWLS.test_remove_data_pickle ... ok statsmodels.compatnp.tests.test_collections.test_counter ... ok statsmodels.compatnp.tests.test_itercompat.test_zip_longest ... ok statsmodels.compatnp.tests.test_itercompat.test_combinations ... ok statsmodels.datasets.tests.test_utils.test_get_rdataset ... ok statsmodels.discrete.tests.test_discrete.TestCVXOPT.test_cvxopt_versus_slsqp ... SKIP: Skipped test_cvxopt since cvxopt is not available statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroLogit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroLogit.test_tests ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroMNLogit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroProbit.test_basic_results ... ok statsmodels.discrete.tests.test_discrete.TestL1AlphaZeroProbit.test_tests ... ok SKIP statsmodels.discrete.tests.test_discrete.TestLogitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_count_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_exog1 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_exog2 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_eydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_dummy_eydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dydxzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_dyexzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_exog1 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_exog2 ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eydxzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexmean ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexmedian ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexoverall ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_nodummy_eyexzero ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_resid_pearson ... ok statsmodels.discrete.tests.test_discrete.TestLogitNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_f_test ... SKIP: Skipped test_f_test for MNLogit statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_endog_names ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_j ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_k ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_dummy ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_mean ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitLBFGSBaseZero.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_endog_names ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_j ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_k ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_dummy ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_mean ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_params ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestMNLogitNewtonBaseZero.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialGeometricBFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_lnalpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1BFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_lnalpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB1Newton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_alpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2BFGS.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_alpha ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_fittedvalues ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestNegativeBinomialNB2Newton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_margeff_dummy_overall ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_margeff_overall ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict_prob ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_resid ... ok statsmodels.discrete.tests.test_discrete.TestPoissonNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitBFGS.test_zstat ... ok SKIP: Skipped TestProbitBasinhopping since basinhopping solver is not available statsmodels.discrete.tests.test_discrete.TestProbitCG.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitCG.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_nnz_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_bad_r_matrix ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_df ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_f_test ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitL1Compatability.test_t_test ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNCG.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNM.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitNewton.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitPowell.test_zstat ... ok statsmodels.discrete.tests.test_discrete.TestSweepAlphaL1.test_sweep_alpha ... ok statsmodels.discrete.tests.test_discrete.test_perfect_prediction ... ok statsmodels.discrete.tests.test_discrete.test_poisson_predict ... ok statsmodels.discrete.tests.test_discrete.test_poisson_newton ... ok statsmodels.discrete.tests.test_discrete.test_issue_339 ... ok statsmodels.discrete.tests.test_discrete.test_issue_341 ... ok statsmodels.discrete.tests.test_discrete.test_iscount ... ok statsmodels.discrete.tests.test_discrete.test_isdummy ... ok test_StepFunction (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionBadShape (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionRepeatedValues (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_StepFunctionValueSideRight (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok test_monotone_fn_inverter (statsmodels.distributions.tests.test_ecdf.TestDistributions) ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_cdf ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_pdf ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_rvs_fixed ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mixture_rvs_random ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mv_mixture_rvs_fixed ... ok statsmodels.distributions.tests.test_mixture.TestMixtureDistributions.test_mv_mixture_rvs_random ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta0 ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta1 ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_beta_vect ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_betaci ... ok statsmodels.emplike.tests.test_aft.Test_AFTModel.test_params ... ok statsmodels.emplike.tests.test_anova.TestANOVA.test_anova ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_corr ... ok Same strategy for skewness CI ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_mean ... ok This will be tested in a round about way since MATLAB fails when ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_skew_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_ci_var ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_joint_skew_kurt ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_mv_test_mean ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_mv_test_mean_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_corr ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_corr_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_kurt ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_mean ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_mean_weights ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_skew ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_var ... ok statsmodels.emplike.tests.test_descriptive.TestDescriptiveStatistics.test_test_var_weights ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_ci_beta ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_llf ... ok statsmodels.emplike.tests.test_origin.TestOrigin.test_params ... ok All confidence intervals are tested by conducting a hypothesis ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_ci_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionNM.test_hypothesis_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta3 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta0 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta1 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta2 ... ok statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_hypothesis_beta3 ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaDict.test_summary ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaPandas.test_summary ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_design ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_endog ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_endog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_exog_names ... ok statsmodels.formula.tests.test_formula.TestFormulaRecArray.test_summary ... ok statsmodels.formula.tests.test_formula.test_tests ... ok statsmodels.formula.tests.test_formula.test_formula_labels ... ok statsmodels.formula.tests.test_formula.test_formula_predict ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_params ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGaussianInverse.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGaussianLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmBernoulli.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmBinomial.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGamma.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaIdentity.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGammaLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmGaussian.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgauss.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussIdentity.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmInvgaussLog.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmNegbinomial.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmPoisson.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_aic_R ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_aic_Stata ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_bic ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_degrees ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_fittedvalues ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_loglike ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_missing ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_null_deviance ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_params ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_residuals ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_scale ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_standard_errors ... ok statsmodels.genmod.tests.test_glm.TestGlmPoissonOffset.test_tpvalues ... ok statsmodels.genmod.tests.test_glm.test_prefect_pred ... ok Regression test for mutables and class constructors. ... ok Test violinplot and beanplot with the same dataset. ... ok statsmodels.graphics.tests.test_correlation.test_plot_corr ... ok statsmodels.graphics.tests.test_correlation.test_plot_corr_grid ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_both ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_pandas ... ok statsmodels.graphics.tests.test_factorplots.TestInteractionPlot.test_plot_rainbow ... ok statsmodels.graphics.tests.test_functional.test_banddepth_BD2 ... ok statsmodels.graphics.tests.test_functional.test_banddepth_MBD ... ok Test fboxplot and rainbowplot together, is much faster. ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot_comparison ... ok statsmodels.graphics.tests.test_gofplots.test_ProbPlot_comparison_arrays ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot_2samples ... ok statsmodels.graphics.tests.test_gofplots.test_qqplot_2samples_arrays ... ok statsmodels.graphics.tests.test_mosaicplot.test_data_conversion ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic_simple ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic ... ok statsmodels.graphics.tests.test_mosaicplot.test_mosaic_very_complex ... ok statsmodels.graphics.tests.test_mosaicplot.test_axes_labeling ... ok statsmodels.graphics.tests.test_mosaicplot.test_recursive_split ... ok statsmodels.graphics.tests.test_mosaicplot.test__reduce_dict ... ok statsmodels.graphics.tests.test_mosaicplot.test__key_splitting ... ok statsmodels.graphics.tests.test_mosaicplot.test_proportion_normalization ... ok statsmodels.graphics.tests.test_mosaicplot.test_false_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_rect_pure_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_rect_deformed_split ... ok statsmodels.graphics.tests.test_mosaicplot.test_gap_split ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_ab ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_ab_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_model ... ok statsmodels.graphics.tests.test_regressionplots.TestABLine.test_abline_model_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_ab ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_ab_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_model ... ok statsmodels.graphics.tests.test_regressionplots.TestABLinePandas.test_abline_model_ax ... ok statsmodels.graphics.tests.test_regressionplots.TestPlot.test_plot_fit ... ok statsmodels.graphics.tests.test_regressionplots.TestPlot.test_plot_oth ... ok statsmodels.graphics.tests.test_regressionplots.TestPlotPandas.test_plot_fit ... ok statsmodels.graphics.tests.test_regressionplots.TestPlotPandas.test_plot_oth ... ok statsmodels.graphics.tests.test_tsaplots.test_plot_acf ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta_pandas ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_structured ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_array ... ok statsmodels.iolib.tests.test_foreign.test_missing_roundtrip ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_pandas ... ok statsmodels.iolib.tests.test_foreign.test_stata_writer_unicode ... ok statsmodels.iolib.tests.test_foreign.test_genfromdta_datetime ... ok statsmodels.iolib.tests.test_foreign.test_date_converters ... ok statsmodels.iolib.tests.test_foreign.test_datetime_roundtrip ... ok statsmodels.iolib.tests.test_pickle.test_pickle ... ok Basic test, test_SimpleTable_1 ... ok Test SimpleTable.extend_right() ... ok Test SimpleTable.extend() as in extend down ... ok Basic test, test_SimpleTable_4 ... ok test_regression_with_tuples (statsmodels.iolib.tests.test_table.TestSimpleTable) ... ok test_celldata (statsmodels.iolib.tests.test_table_econpy.test_Cell) ... ok Limited test of custom custom labeling ... ok Limited test of custom html_fmt ... ok Limited test of custom ltx_fmt ... ok Limited test of custom txt_fmt ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_minsupport ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_params ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_summary ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyPareto1.test_ttest ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_params ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_summary ... ok statsmodels.miscmodels.tests.test_generic_mle.TestMyParetoRestriction.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonMLE.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonOffset.test_ttest ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_cov_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_exog_names_warning ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_params ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_summary ... ok statsmodels.miscmodels.tests.test_poisson.TestPoissonZi.test_ttest ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_fit_ls ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_params ... ok statsmodels.miscmodels.tests.test_tarma.TestArma.test_smoke ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_fit_ls ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_params ... ok statsmodels.miscmodels.tests.test_tarma.TestTArma.test_smoke ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_basic ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_bse ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_fitted ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_formula ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModel.test_smoke ... ok statsmodels.miscmodels.tests.test_tmodel.TestTModelFixed.test_smoke ... ok statsmodels.nonparametric.tests.test_kde.TestKDEBiweight.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEEpanechnikov.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEGauss.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDEGaussFFT.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKDETriangular.test_density ... ok statsmodels.nonparametric.tests.test_kde.TestKdeWeights.test_density ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cvls_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_continuous_cvml_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_efficient_notrandom ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_mixeddata_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_continuous ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_CV_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_mixeddata_LS_vs_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_pdf_ordered ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariate.test_unordered_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_CV_ML ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_cvml_efficient ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_continuous_normal_ref ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_mixeddata_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_mixeddata_cdf ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_pdf_continuous ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_pdf_mixeddata ... ok statsmodels.nonparametric.tests.test_kernel_density.TestKDEMultivariateConditional.test_unordered_CV_LS ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_censored_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_cvls_efficient ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_lc_aic ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuous_mfx_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuousdata_lc_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_continuousdata_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_mfx_nonlinear_ll_cvls ... SKIP: Skipping test: test_mfx_nonlinear_ll_cvls Test doesn't make much sense. It would pass with very small bw. statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_mixed_mfx_ll_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_ordered_lc_cvls ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_significance_continuous ... ok statsmodels.nonparametric.tests.test_kernel_regression.TestKernelReg.test_significance_discrete ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_delta ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_frac ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_import ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_iter ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_options ... ok statsmodels.nonparametric.tests.test_lowess.TestLowess.test_simple ... ok statsmodels.regression.tests.test_cov.test_HC_use ... ok statsmodels.regression.tests.test_glsar_gretl.TestGLSARGretl.test_all ... ok statsmodels.regression.tests.test_glsar_gretl.test_GLSARlag ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_params_table ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_predicted ... ok statsmodels.regression.tests.test_glsar_stata.TestGLSARCorc.test_rho ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestBiweightHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestCosineHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestEpanechnikovHsheatherQ75.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestGaussianHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneBofinger.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneChamberlain.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_bandwidth ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_bse ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_conf_int ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_df_model ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_df_resid ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_nobs ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_params ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_prsquared ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_pvalues ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_sparsity ... ok statsmodels.regression.tests.test_quantile_regression.TestParzeneHsheather.test_tvalues ... ok statsmodels.regression.tests.test_quantile_regression.test_fitted_residuals ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_aic ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_bic ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_degrees ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_ess ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_loglike ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_params ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_resids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_scale ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestDataDimensions.test_wresid ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_df_num ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_new_ftest ... ok statsmodels.regression.tests.test_regression.TestFTest2.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestFtest.test_Df_denom ... ok statsmodels.regression.tests.test_regression.TestFtest.test_Df_num ... ok statsmodels.regression.tests.test_regression.TestFtest.test_F ... ok statsmodels.regression.tests.test_regression.TestFtest.test_p ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_df_num ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestFtestQ.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestGLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS.test_fittedvalues ... ok statsmodels.regression.tests.test_regression.TestGLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS.test_missing ... ok statsmodels.regression.tests.test_regression.TestGLS.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS.test_resid ... ok statsmodels.regression.tests.test_regression.TestGLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS.test_tvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_OLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wresid ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wrong_size_sigma_1d ... ok statsmodels.regression.tests.test_regression.TestGLS_alt_sigma.test_wrong_size_sigma_2d ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_params ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_large_equal_params_none ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_large_data.test_wresid ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_LRversion ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_demean ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_heteroskedastic_nodemean ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_homoskedastic ... ok statsmodels.regression.tests.test_regression.TestLM.test_LM_nonnested ... ok statsmodels.regression.tests.test_regression.TestNonFit.test_df_resid ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_params ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxNx.test_wresid ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_params ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxNxOne.test_wresid ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_aic ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_bic ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_degrees ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_ess ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_loglike ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_params ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_resids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_scale ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestNxOneNx.test_wresid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC0_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC1_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC2_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_HC3_errors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestOLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestOLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestOLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestOLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestOLS.test_eigenvalues ... ok statsmodels.regression.tests.test_regression.TestOLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestOLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestOLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestOLS.test_missing ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resid ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resid_zero_variance ... ok statsmodels.regression.tests.test_regression.TestOLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_alternatives ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_normalized_cov_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_qr_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestOLS.test_rsquared_adj_overfit ... ok statsmodels.regression.tests.test_regression.TestOLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestOLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestOLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestOLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_ll ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_params ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestOLS_GLS_WLS_equivalence.test_ss ... ok statsmodels.regression.tests.test_regression.TestRTO.test_aic ... ok statsmodels.regression.tests.test_regression.TestRTO.test_bic ... ok statsmodels.regression.tests.test_regression.TestRTO.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestRTO.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestRTO.test_degrees ... ok statsmodels.regression.tests.test_regression.TestRTO.test_ess ... ok statsmodels.regression.tests.test_regression.TestRTO.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestRTO.test_loglike ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestRTO.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestRTO.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_params ... ok statsmodels.regression.tests.test_regression.TestRTO.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestRTO.test_resids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestRTO.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestRTO.test_scale ... ok statsmodels.regression.tests.test_regression.TestRTO.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestRTO.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestRTO.test_wresid ... ok statsmodels.regression.tests.test_regression.TestTtest.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestTtest.test_effect ... ok statsmodels.regression.tests.test_regression.TestTtest.test_new_tvalue ... ok statsmodels.regression.tests.test_regression.TestTtest.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestTtest.test_sd ... ok statsmodels.regression.tests.test_regression.TestTtest.test_tvalue ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_df_denom ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_effect ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_pvalue ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_sd ... ok statsmodels.regression.tests.test_regression.TestTtest2.test_tvalue ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_params ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLSExogWeights.test_wresid ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_params ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLSScalarVsArray.test_wresid ... ok statsmodels.regression.tests.test_regression.TestWLS_CornerCases.test_wrong_size_weights ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_aic ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_bic ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_degrees ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_ess ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_loglike ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_norm_resids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_params ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_resids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_scale ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestWLS_OLS.test_wresid ... ok statsmodels.regression.tests.test_regression.TestYuleWalker.test_params ... ok statsmodels.regression.tests.test_regression.test_wls_example ... ok statsmodels.regression.tests.test_regression.test_wls_tss ... ok statsmodels.regression.tests.test_regression.test_wls_missing ... ok statsmodels.regression.tests.test_regression.test_bad_size ... ok statsmodels.regression.tests.test_regression.test_const_indicator ... ok statsmodels.regression.tests.test_regression.test_706 ... ok statsmodels.regression.tests.test_regression.test_summary ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust1.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust1.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2LargeNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust2SmallNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust3.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobust3.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2G.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2GLarge.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustCluster2Large.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterGS.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustClusterNWP.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHACSmallNew.test_ttest ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacLarge.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacLarge.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacSmall.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestOLSRobustHacSmall.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestWLSOLSRobustSmall.test_all ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_basic ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_compare ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_confint ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_fvalue ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_smoke ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_tests ... ok statsmodels.regression.tests.test_robustcov.TestWLSRobustSmall.test_ttest ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestHampel.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_params ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_scale ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_summary ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestHampel.test_weights ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestHampelHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestHampelHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestHampelHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlm.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlm.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmAndrews.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmAndrewsHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquare.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_summary ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmBisquareHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_bcov_unscaled ... SKIP: No unscaled cov matrix from SAS statsmodels.robust.tests.test_rlm.TestRlmHuber.test_confidenceintervals ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmHuber.test_tvalues ... SKIP: No tvalues in benchmark statsmodels.robust.tests.test_rlm.TestRlmHuber.test_weights ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_bcov_scaled ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_bcov_unscaled ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_confidenceintervals ... SKIP: Results from R statsmodels.robust.tests.test_rlm.TestRlmSresid.test_degrees ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_params ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_residuals ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_scale ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_standarderrors ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_tpvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_tvalues ... ok statsmodels.robust.tests.test_rlm.TestRlmSresid.test_weights ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_Hampel ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_huberT ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_location ... ok statsmodels.robust.tests.test_scale.TestChem.test_huber_scale ... ok statsmodels.robust.tests.test_scale.TestChem.test_mad ... ok statsmodels.robust.tests.test_scale.TestChem.test_mean ... ok statsmodels.robust.tests.test_scale.TestChem.test_median ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axis1 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axis2 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_axisneg1 ... ok statsmodels.robust.tests.test_scale.TestHuberAxes.test_default ... ok statsmodels.robust.tests.test_scale.TestMad.test_mad ... ok statsmodels.robust.tests.test_scale.TestMad.test_mad_center ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis0 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis1 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axis2 ... ok statsmodels.robust.tests.test_scale.TestMadAxes.test_axisneg1 ... ok statsmodels.sandbox.distributions.tests.test_extras.test_skewnorm ... ok statsmodels.sandbox.distributions.tests.test_extras.test_skewt ... ok statsmodels.sandbox.distributions.tests.test_multivariate.TestMVDistributions.test_mvn_pdf ... ok statsmodels.sandbox.distributions.tests.test_multivariate.TestMVDistributions.test_mvt_pdf ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_1 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_2 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_3 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_4 ... ok statsmodels.sandbox.distributions.tests.test_multivariate.Test_MVN_MVT_prob.test_mvn_mvt_5 ... ok statsmodels.sandbox.distributions.tests.testtransf.Test_Transf2.test_equivalent ... ok statsmodels.sandbox.distributions.tests.testtransf.Test_Transf2.test_equivalent_negsq ... ok statsmodels.sandbox.nonparametric.tests.test_kernel_extras.TestSemiLinear.test_basic ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother1.test_predict ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother2.test_predict ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_coef ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_df ... ok statsmodels.sandbox.nonparametric.tests.test_smoothers.TestPolySmoother3.test_predict ... ok statsmodels.sandbox.panel.tests.test_random_panel.test_short_panel ... ok test_call (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_contrast4 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_design (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor4 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_factor5 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_interactions (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_intercept1 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_intercept3 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_namespace (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_ordinal_factor (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_ordinal_factor2 (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_power (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_product (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_quantitative (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_str (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_subtract (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_termcolumns (statsmodels.sandbox.tests.test_formula.TestFormula) ... ok test_add (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_init (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_mul (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok test_str (statsmodels.sandbox.tests.test_formula.TestTerm) ... ok statsmodels.sandbox.tests.test_gam.TestAdditiveModel.test_params ... ok statsmodels.sandbox.tests.test_gam.TestAdditiveModel.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMBinomial.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMGamma.test_predict ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_mu ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_params ... ok statsmodels.sandbox.tests.test_gam.TestGAMPoisson.test_predict ... ok statsmodels.sandbox.tests.test_pca.test_pca_princomp ... ok statsmodels.sandbox.tests.test_pca.test_pca_svd ... ok test_100_random_values (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok test_handful_to_known_values (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok test_invalid_parameters (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok scalar input -> scalar output ... ok test_v_equal_one (statsmodels.stats.libqsturng.tests.test_qsturng.test_psturng) ... ok vector input -> vector output ... ok test_10000_to_ch (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_handful_to_ch (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_handful_to_tbl (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok test_invalid_parameters (statsmodels.stats.libqsturng.tests.test_qsturng.test_qsturng) ... ok scalar input -> scalar output ... ok vector input -> vector output ... ok statsmodels.stats.tests.test_anova.TestAnova2.test_results ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:211: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][test] = test_value = f.fvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:212: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][pr_test] = f.pvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:215: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i]['df'] = r FAIL statsmodels.stats.tests.test_anova.TestAnova2HC0.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC1.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC2.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova2HC3.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3.test_results ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:250: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][test] = test_value = f.fvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:251: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i][pr_test] = f.pvalue /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/anova.py:254: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_index,col_indexer] = value instead table.ix[i]['df'] = r FAIL statsmodels.stats.tests.test_anova.TestAnova3HC0.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC1.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC2.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnova3HC3.test_results ... FAIL statsmodels.stats.tests.test_anova.TestAnovaLM.test_results ... ok statsmodels.stats.tests.test_anova.TestAnovaLMCompare.test_results ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast1 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast2 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_contrast3 ... ok statsmodels.stats.tests.test_contrast.TestContrast.test_estimable ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_clipped ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_cov_nearest ... ok statsmodels.stats.tests.test_corrpsd.TestCorrPSD1.test_nearest ... ok statsmodels.stats.tests.test_corrpsd.TestCovPSD.test_cov_nearest ... ok statsmodels.stats.tests.test_corrpsd.test_corr_psd ... ok statsmodels.stats.tests.test_corrpsd.test_corrpsd_threshold ... ok statsmodels.stats.tests.test_descriptivestats.test_sign_test ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_acorr_breush_godfrey ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_acorr_ljung_box ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_basic ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_breaks_hansen ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_compare_lr ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_compare_nonnested ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_cusum_ols ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_hac ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_harvey_collier ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_arch ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_arch2 ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_breush_pagan ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_goldfeldquandt ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_het_white ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_influence ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_normality ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_rainbow ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticG.test_recursive_residuals ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_acorr_breush_godfrey ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_acorr_ljung_box ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_basic ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_breaks_hansen ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_compare_lr ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_compare_nonnested ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_cusum_ols ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_hac ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_harvey_collier ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_arch ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_arch2 ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_breush_pagan ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_goldfeldquandt ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_het_white ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_influence ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_normality ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_rainbow ... ok statsmodels.stats.tests.test_diagnostic.TestDiagnosticGPandas.test_recursive_residuals ... ok statsmodels.stats.tests.test_diagnostic.test_outlier_influence_funcs ... ok statsmodels.stats.tests.test_diagnostic.test_influence_wrapped ... ok statsmodels.stats.tests.test_diagnostic.test_outlier_test ... ok statsmodels.stats.tests.test_gof.test_chisquare_power ... ok statsmodels.stats.tests.test_gof.test_chisquare ... ok statsmodels.stats.tests.test_gof.test_chisquare_effectsize ... ok statsmodels.stats.tests.test_groups_sw.TestBalanced.test_raises ... ok statsmodels.stats.tests.test_groups_sw.TestBalanced.test_values ... ok statsmodels.stats.tests.test_groups_sw.TestUnBalanced.test_raises ... ok statsmodels.stats.tests.test_groups_sw.TestUnBalanced.test_values ... ok statsmodels.stats.tests.test_inter_rater.TestWeightedCohens.test_option ... ok statsmodels.stats.tests.test_inter_rater.TestWeightedCohens.test_results ... ok statsmodels.stats.tests.test_inter_rater.test_fleiss_kappa ... ok statsmodels.stats.tests.test_inter_rater.test_cohenskappa_weights ... ok statsmodels.stats.tests.test_inter_rater.test_cohens_kappa_irr ... ok statsmodels.stats.tests.test_inter_rater.test_fleiss_kappa_irr ... ok statsmodels.stats.tests.test_inter_rater.test_to_table ... ok statsmodels.stats.tests.test_inter_rater.test_aggregate_raters ... ok statsmodels.stats.tests.test_moment_helpers.test_cov2corr ... ok statsmodels.stats.tests.test_moment_helpers.test_moment_conversion ... ok statsmodels.stats.tests.test_moment_helpers.test_moment_conversion_types ... ok statsmodels.stats.tests.test_multi.TestMultiTests1.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests2.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests3.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.TestMultiTests4.test_multi_pvalcorrection ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.01 rejected:4\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.01 rejected:1\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.1111, 0.1111, 0.1111, 0.1111, 0.1111, 0.1111, 0.1111,\n 0.1111, 0.1111, 0.1111])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909, 0.09999 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909, 0.04545 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.02295225, 0.0303 , 0.09999 , 0.09999 ,\n 0.09999 , 0.09999 , 0.09999 , 0.09999 , 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.015453 , 0.020301 , 0.022725 , 0.09091818,\n 0.09394212, 0.09610208, 0.09772204, 0.09898202, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.01170337, 0.0153015 , 0.01710056, 0.01818 ,\n 0.07576515, 0.08441688, 0.09090568, 0.09595253, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000909 , 0.0094536 , 0.0123018 , 0.0137259 , 0.01458036,\n 0.01515 , 0.06494156, 0.07954507, 0.09090337, 0.09999 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000808 , 0.00707 , 0.00915733, 0.010201 , 0.0108272 ,\n 0.01124467, 0.01154286, 0.0505101 , 0.07182671, 0.08888 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000707 , 0.005353 , 0.00690167, 0.007676 , 0.0081406 ,\n 0.00845033, 0.00867157, 0.0088375 , 0.03928563, 0.07777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_tsbky 0.01 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.000606 , 0.00405263, 0.0052015 , 0.00577594, 0.0061206 ,\n 0.00635038, 0.0065145 , 0.00663759, 0.00673333, 0.03030606])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.000101 , 0.000606 , 0.00077433, 0.0008585 , 0.000909 ,\n 0.00094267, 0.00096671, 0.00098475, 0.00099878, 0.00101 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.045 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.022725, 0.03 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.0153 , 0.0201 , 0.0225 , 0.090018 ,\n 0.093012 , 0.09515057, 0.0967545 , 0.098002 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.0115875 , 0.01515 , 0.01693125, 0.018 ,\n 0.075015 , 0.08358107, 0.09000562, 0.0950025 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0009 , 0.00936 , 0.01218 , 0.01359 , 0.014436 ,\n 0.015 , 0.06429857, 0.0787575 , 0.09000333, 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0008 , 0.007 , 0.00906667, 0.0101 , 0.01072 ,\n 0.01113333, 0.01142857, 0.05001 , 0.07111556, 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.0053 , 0.00683333, 0.0076 , 0.00806 ,\n 0.00836667, 0.00858571, 0.00875 , 0.03889667, 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_tsbh 0.01 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0006 , 0.0040125 , 0.00515 , 0.00571875, 0.00606 ,\n 0.0062875 , 0.00645 , 0.00657187, 0.00666667, 0.030006 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:1\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:2\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_gbs 0.01 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.01 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.01 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:4\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case b 0.05 rejected:5\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:5\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.05 rejected:5\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case sh 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case sh 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case sh 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case sh 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hs 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hs 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hs 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hs 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case h 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case h 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case h 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case h 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case h 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hommel 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hommel 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hommel 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hommel 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_i 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_i 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_n 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_n 0.05 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_n 0.05 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_n 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.1155, 0.1155, 0.1155, 0.1155, 0.1155, 0.1155, 0.1155,\n 0.1155, 0.1155, 0.1155])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000945, 0.10395 , 0.10395 , 0.10395 , 0.10395 , 0.10395 ,\n 0.10395 , 0.10395 , 0.10395 , 0.10395 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000945, 0.04725 , 0.10395 , 0.10395 , 0.10395 , 0.10395 ,\n 0.10395 , 0.10395 , 0.10395 , 0.10395 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.000735 , 0.01855875, 0.0245 , 0.08085 , 0.08085 ,\n 0.08085 , 0.08085 , 0.08085 , 0.08085 , 0.08085 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00063 , 0.01071 , 0.01407 , 0.01575 , 0.0630126 ,\n 0.0651084 , 0.0666054 , 0.06772815, 0.0686014 , 0.0693 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_tsbky 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000525 , 0.00675937, 0.0088375 , 0.00987656, 0.0105 ,\n 0.04375875, 0.04875563, 0.05250328, 0.05541813, 0.05775 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00042 , 0.004368 , 0.005684 , 0.006342 , 0.0067368 ,\n 0.007 , 0.030006 , 0.0367535 , 0.04200156, 0.0462 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.000315 , 0.00275625, 0.00357 , 0.00397688, 0.004221 ,\n 0.00438375, 0.0045 , 0.01969144, 0.02800175, 0.03465 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00021 , 0.00159 , 0.00205 , 0.00228 , 0.002418 ,\n 0.00251 , 0.00257571, 0.002625 , 0.011669 , 0.0231 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.000105 , 0.00070219, 0.00090125, 0.00100078, 0.0010605 ,\n 0.00110031, 0.00112875, 0.00115008, 0.00116667, 0.00525105])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00105 , 0.0063 , 0.00805 , 0.008925 , 0.00945 ,\n 0.0098 , 0.01005 , 0.0102375 , 0.01038333, 0.0105 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0008, 0.04 , 0.088 , 0.088 , 0.088 , 0.088 , 0.088 ,\n 0.088 , 0.088 , 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.017675 , 0.02333333, 0.077 , 0.077 ,\n 0.077 , 0.077 , 0.077 , 0.077 , 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0006 , 0.0102 , 0.0134 , 0.015 , 0.060012 ,\n 0.062008 , 0.06343371, 0.064503 , 0.06533467, 0.066 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_tsbh 0.05 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0005 , 0.0064375 , 0.00841667, 0.00940625, 0.01 ,\n 0.041675 , 0.04643393, 0.05000312, 0.05277917, 0.055 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0004 , 0.00416 , 0.00541333, 0.00604 , 0.006416 ,\n 0.00666667, 0.02857714, 0.03500333, 0.04000148, 0.044 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0003 , 0.002625 , 0.0034 , 0.0037875 , 0.00402 ,\n 0.004175 , 0.00428571, 0.01875375, 0.02666833, 0.033 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0002 , 0.00151429, 0.00195238, 0.00217143, 0.00230286,\n 0.00239048, 0.00245306, 0.0025 , 0.01111333, 0.022 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0001 , 0.00066875, 0.00085833, 0.00095312, 0.00101 ,\n 0.00104792, 0.001075 , 0.00109531, 0.00111111, 0.005001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.05 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.05 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.56675556, 0.63341111, 0.70006667, 0.76672222,\n 0.83337778, 0.90003333, 0.96668889, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.5001 , 0.5750875, 0.650075 , 0.7250625,\n 0.80005 , 0.8750375, 0.950025 , 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.1 , 0.5001, 0.5858, 0.6715, 0.7572, 0.8429,\n 0.9286, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0505 , 0.1 , 0.5001 , 0.60008333,\n 0.70006667, 0.80005 , 0.90003333, 1. , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.034 , 0.067 , 0.1 , 0.5001 , 0.62008,\n 0.74006, 0.86004, 0.98002, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case b 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02575 , 0.0505 , 0.07525 , 0.1 , 0.5001 ,\n 0.650075, 0.80005 , 0.950025, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case b 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0208 , 0.0406 , 0.0604 , 0.0802 ,\n 0.1 , 0.5001 , 0.70006667, 0.90003333, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case b 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0175 , 0.034 , 0.0505 , 0.067 , 0.0835 ,\n 0.1 , 0.5001 , 0.80005, 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case b 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01514286, 0.02928571, 0.04342857, 0.05757143,\n 0.07171429, 0.08585714, 0.1 , 0.5001 , 1. ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case b 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.013375, 0.02575 , 0.038125, 0.0505 , 0.062875,\n 0.07525 , 0.087625, 0.1 , 0.5001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case b 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.012, 0.023, 0.034, 0.045, 0.056, 0.067, 0.078,\n 0.089, 0.1 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.44202995, 0.48022595, 0.51605239, 0.54964083,\n 0.58111642, 0.61059815, 0.63819907, 0.66402662, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.40132608, 0.4469387 , 0.48939946, 0.52890346,\n 0.56563515, 0.59976885, 0.6314692 , 0.66089162, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.09561792, 0.40132608, 0.45319283, 0.50097976,\n 0.54497469, 0.58544747, 0.62265103, 0.65682223, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04936771, 0.09561792, 0.40132608, 0.46143263,\n 0.51605239, 0.56563515, 0.61059815, 0.65132802, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03348449, 0.06501562, 0.09561792, 0.40132608,\n 0.47278065, 0.53646586, 0.59314191, 0.64350311, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case s 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02545366, 0.04936771, 0.07275231, 0.09561792,\n 0.40132608, 0.48939946, 0.56563515, 0.6314692 , 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case s 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02060639, 0.03986621, 0.05878449, 0.07736662,\n 0.09561792, 0.40132608, 0.51605239, 0.61059815, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case s 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01736283, 0.03348449, 0.04936771, 0.06501562,\n 0.08043134, 0.09561792, 0.40132608, 0.56563515, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case s 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01504008, 0.02890277, 0.04258961, 0.05610259,\n 0.06944367, 0.08261481, 0.09561792, 0.40132608, 0.6881828 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case s 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.01329479, 0.02545366, 0.03747752, 0.04936771,\n 0.06112553, 0.07275231, 0.08424935, 0.09561792, 0.40132608])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case s 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.01193541, 0.0227634 , 0.03348449, 0.0440996 ,\n 0.05460967, 0.06501562, 0.07531838, 0.08551884, 0.09561792])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306, 0.0536, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case sh 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case sh 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.04 , 0.04 ,\n 0.04 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case sh 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.03 , 0.03 ,\n 0.03 , 0.03 , 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.02 , 0.02 , 0.02 ,\n 0.02 , 0.02 , 0.02 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case sh 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.40132608, 0.40850675, 0.40850675, 0.40850675, 0.40850675,\n 0.40850675, 0.40850675, 0.40850675, 0.40850675, 0.40850675])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.3698103 , 0.37738638, 0.37738638, 0.37738638,\n 0.37738638, 0.37738638, 0.37738638, 0.37738638, 0.37738638])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.08648275, 0.33663543, 0.34463395, 0.34463395,\n 0.34463395, 0.34463395, 0.34463395, 0.34463395, 0.34463395])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.04454265, 0.07725531, 0.30171416, 0.31016691,\n 0.31016691, 0.31016691, 0.31016691, 0.31016691, 0.31016691])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.03018712, 0.05235978, 0.06793465, 0.26495454,\n 0.27390128, 0.27390128, 0.27390128, 0.27390128, 0.27390128])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.02293773, 0.0396931 , 0.05150066, 0.05851985,\n 0.22625979, 0.23575517, 0.23575517, 0.23575517, 0.23575517])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hs 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.018565 , 0.03202219, 0.04152155, 0.04716545,\n 0.04900995, 0.18552804, 0.1956603 , 0.1956603 , 0.1956603 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hs 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.0156402 , 0.02687851, 0.03481893, 0.03953264,\n 0.04105857, 0.04105857, 0.14265207, 0.1536092 , 0.1536092 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case hs 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00099955, 0.01354631, 0.02318983, 0.03000679, 0.03404949,\n 0.03534652, 0.03534652, 0.03534652, 0.097519 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00099955, 0.0119733 , 0.0204153 , 0.02638419, 0.02992003,\n 0.03104465, 0.03104465, 0.03104465, 0.03104465, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hs 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00099955, 0.0107483 , 0.01825256, 0.02355861, 0.02669807,\n 0.02768815, 0.02768815, 0.02768815, 0.02768815, 0.02768815])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.5001 , 0.51008, 0.51008, 0.51008, 0.51008, 0.51008,\n 0.51008, 0.51008, 0.51008, 0.51008])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.45009, 0.46007, 0.46007, 0.46007, 0.46007,\n 0.46007, 0.46007, 0.46007, 0.46007])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.09 , 0.40008, 0.41006, 0.41006, 0.41006,\n 0.41006, 0.41006, 0.41006, 0.41006])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.04545, 0.08 , 0.35007, 0.36005, 0.36005,\n 0.36005, 0.36005, 0.36005, 0.36005])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0306 , 0.0536 , 0.07 , 0.30006, 0.31004,\n 0.31004, 0.31004, 0.31004, 0.31004])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case h 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.023175, 0.0404 , 0.052675, 0.06 , 0.25005 ,\n 0.26003 , 0.26003 , 0.26003 , 0.26003 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case h 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01872, 0.03248, 0.04228, 0.04812, 0.05 ,\n 0.20004, 0.21002, 0.21002, 0.21002])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case h 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01575, 0.0272 , 0.03535, 0.0402 , 0.04175,\n 0.04175, 0.15003, 0.16001, 0.16001])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case h 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01362857, 0.02342857, 0.0304 , 0.03454286,\n 0.03585714, 0.03585714, 0.03585714, 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0120375, 0.0206 , 0.0266875, 0.0303 ,\n 0.0314375, 0.0314375, 0.0314375, 0.0314375, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case h 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.0108, 0.0184, 0.0238, 0.027 , 0.028 , 0.028 ,\n 0.028 , 0.028 , 0.028 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.09 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.045, 0.08 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.03 , 0.0469, 0.07 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0225 , 0.035 , 0.04515, 0.06 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case hommel 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.018 , 0.02436, 0.0302 , 0.0401 , 0.05 ,\n 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case hommel 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.015 , 0.02 , 0.025 , 0.0268, 0.0334, 0.04 ,\n 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case hommel 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.01285714, 0.015 , 0.01737143, 0.02 ,\n 0.02151429, 0.02575714, 0.03 , 0.10002 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.01125 , 0.0125 , 0.01333333, 0.015 ,\n 0.015 , 0.01505 , 0.017525 , 0.02 , 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case hommel 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001, 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 , 0.01 ,\n 0.01 , 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001, 0.05 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ,\n 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.02525 , 0.03333333, 0.11 , 0.11 ,\n 0.11 , 0.11 , 0.11 , 0.11 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.017 , 0.02233333, 0.025 , 0.10002 ,\n 0.10334667, 0.10572286, 0.107505 , 0.10889111, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_i 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.012875 , 0.01683333, 0.0188125 , 0.02 ,\n 0.08335 , 0.09286786, 0.10000625, 0.10555833, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_i 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.0104 , 0.01353333, 0.0151 , 0.01604 ,\n 0.01666667, 0.07144286, 0.08750833, 0.1000037 , 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00875 , 0.01133333, 0.012625 , 0.0134 ,\n 0.01391667, 0.01428571, 0.0625125 , 0.08889444, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_i 0.10 rejected:9\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.001 , 0.00757143, 0.0097619 , 0.01085714, 0.01151429,\n 0.01195238, 0.01226531, 0.0125 , 0.05556667, 0.11 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_i 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.32218651, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.14644841, 0.32218651, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), array([ True, True, True, False, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:3\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.07395645, 0.09763228, 0.32218651, 0.32218651,\n 0.32218651, 0.32218651, 0.32218651, 0.32218651, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), array([ True, True, True, True, False, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:4\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.04979246, 0.06541362, 0.07322421, 0.2929554 ,\n 0.30269911, 0.30965889, 0.31487873, 0.31893861, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), array([ True, True, True, True, True, False, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:5\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03771047, 0.0493043 , 0.05510122, 0.05857937,\n 0.2441295 , 0.27200701, 0.29291513, 0.30917701, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), array([ True, True, True, True, True, True, False, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:6\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.03046127, 0.0396387 , 0.04422742, 0.04698065,\n 0.04881614, 0.20925386, 0.25630913, 0.29290767, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), array([ True, True, True, True, True, True, True, False, False, False], dtype=bool), 'case fdr_n 0.10 rejected:7\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02562847, 0.03319497, 0.03697822, 0.03924817,\n 0.04076147, 0.0418424 , 0.18309713, 0.26036901, 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), array([ True, True, True, True, True, True, True, True, False, False], dtype=bool), 'case fdr_n 0.10 rejected:8\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00292897, 0.02217647, 0.02859231, 0.03180023, 0.03372498,\n 0.03500814, 0.03592469, 0.0366121 , 0.162753 , 0.32218651])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), array([ True, True, True, True, True, True, True, True, True, False], dtype=bool), 'case fdr_n 0.10 rejected:9\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.00292897, 0.01958748, 0.02514031, 0.02791673, 0.02958258,\n 0.03069315, 0.03148641, 0.03208136, 0.03254409, 0.1464777 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_n 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.00292897, 0.01757381, 0.02245542, 0.02489623, 0.02636071,\n 0.02733704, 0.02803441, 0.02855744, 0.02896424, 0.02928968])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.121, 0.121, 0.121, 0.121, 0.121, 0.121, 0.121, 0.121,\n 0.121, 0.121])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbky 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00099, 0.1089 , 0.1089 , 0.1089 , 0.1089 , 0.1089 ,\n 0.1089 , 0.1089 , 0.1089 , 0.1089 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00088, 0.044 , 0.0968 , 0.0968 , 0.0968 , 0.0968 ,\n 0.0968 , 0.0968 , 0.0968 , 0.0968 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.00077 , 0.0194425 , 0.02566667, 0.0847 , 0.0847 ,\n 0.0847 , 0.0847 , 0.0847 , 0.0847 , 0.0847 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00066 , 0.01122 , 0.01474 , 0.0165 , 0.0660132 ,\n 0.0682088 , 0.06977709, 0.0709533 , 0.07186813, 0.0726 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00044 , 0.005665 , 0.00740667, 0.0082775 , 0.0088 ,\n 0.036674 , 0.04086186, 0.04400275, 0.04644567, 0.0484 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00022 , 0.002288 , 0.00297733, 0.003322 , 0.0035288 ,\n 0.00366667, 0.01571743, 0.01925183, 0.02200081, 0.0242 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00011 , 0.0009625 , 0.00124667, 0.00138875, 0.001474 ,\n 0.00153083, 0.00157143, 0.00687638, 0.00977839, 0.0121 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.00011 , 0.00083286, 0.00107381, 0.00119429, 0.00126657,\n 0.00131476, 0.00134918, 0.001375 , 0.00611233, 0.0121 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0011 , 0.00735625, 0.00944167, 0.01048438, 0.01111 ,\n 0.01152708, 0.011825 , 0.01204844, 0.01222222, 0.055011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbky 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0011 , 0.0066 , 0.00843333, 0.00935 , 0.0099 ,\n 0.01026667, 0.01052857, 0.010725 , 0.01087778, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_tsbh 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0009, 0.099 , 0.099 , 0.099 , 0.099 , 0.099 , 0.099 ,\n 0.099 , 0.099 , 0.099 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0008, 0.04 , 0.088 , 0.088 , 0.088 , 0.088 , 0.088 ,\n 0.088 , 0.088 , 0.088 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0007 , 0.017675 , 0.02333333, 0.077 , 0.077 ,\n 0.077 , 0.077 , 0.077 , 0.077 , 0.077 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0006 , 0.0102 , 0.0134 , 0.015 , 0.060012 ,\n 0.062008 , 0.06343371, 0.064503 , 0.06533467, 0.066 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0003 , 0.0038625 , 0.00505 , 0.00564375, 0.006 ,\n 0.025005 , 0.02786036, 0.03000187, 0.0316675 , 0.033 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0002 , 0.00208 , 0.00270667, 0.00302 , 0.003208 ,\n 0.00333333, 0.01428857, 0.01750167, 0.02000074, 0.022 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0001 , 0.000875 , 0.00113333, 0.0012625 , 0.00134 ,\n 0.00139167, 0.00142857, 0.00625125, 0.00888944, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0001 , 0.00075714, 0.00097619, 0.00108571, 0.00115143,\n 0.00119524, 0.00122653, 0.00125 , 0.00555667, 0.011 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.001 , 0.0066875 , 0.00858333, 0.00953125, 0.0101 ,\n 0.01047917, 0.01075 , 0.01095312, 0.01111111, 0.05001 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_tsbh 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.001 , 0.006 , 0.00766667, 0.0085 , 0.009 ,\n 0.00933333, 0.00957143, 0.00975 , 0.00988889, 0.01 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([False, False, False, False, False, False, False, False, False, False], dtype=bool), array([False, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:0\npval_raw=array([ 0.05001 , 0.05667556, 0.06334111, 0.07000667, 0.07667222,\n 0.08333778, 0.09000333, 0.09666889, 0.10333444, 0.11 ])\npvalscorr=array([ 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659,\n 0.52642659, 0.52642659, 0.52642659, 0.52642659, 0.52642659])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), array([ True, False, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:1\npval_raw=array([ 1.00000000e-04, 5.00100000e-02, 5.75087500e-02,\n 6.50075000e-02, 7.25062500e-02, 8.00050000e-02,\n 8.75037500e-02, 9.50025000e-02, 1.02501250e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.23689197, 0.23689197, 0.23689197, 0.23689197,\n 0.23689197, 0.23689197, 0.23689197, 0.23689197, 0.23689197])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), array([ True, True, False, False, False, False, False, False, False, False], dtype=bool), 'case fdr_gbs 0.10 rejected:2\npval_raw=array([ 1.00000000e-04, 1.00000000e-02, 5.00100000e-02,\n 5.85800000e-02, 6.71500000e-02, 7.57200000e-02,\n 8.42900000e-02, 9.28600000e-02, 1.01430000e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.04545455, 0.14038043, 0.14038043, 0.14038043,\n 0.14038043, 0.14038043, 0.14038043, 0.14038043, 0.14038043])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 5.05000000e-03, 1.00000000e-02,\n 5.00100000e-02, 6.00083333e-02, 7.00066667e-02,\n 8.00050000e-02, 9.00033333e-02, 1.00001667e-01,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.02284034, 0.02693603, 0.09212465, 0.09212465,\n 0.09212465, 0.09212465, 0.09212465, 0.09212465, 0.09212465])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 3.40000000e-03, 6.70000000e-03,\n 1.00000000e-02, 5.00100000e-02, 6.20080000e-02,\n 7.40060000e-02, 8.60040000e-02, 9.80020000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.0153522 , 0.01798718, 0.01798718, 0.06317119,\n 0.06317119, 0.06317119, 0.06317119, 0.06317119, 0.06317119])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.57500000e-03, 5.05000000e-03,\n 7.52500000e-03, 1.00000000e-02, 5.00100000e-02,\n 6.50075000e-02, 8.00050000e-02, 9.50025000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.01161741, 0.01353502, 0.01353502, 0.01353502,\n 0.04386888, 0.04386888, 0.04386888, 0.04386888, 0.04386888])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 2.08000000e-03, 4.06000000e-03,\n 6.04000000e-03, 8.02000000e-03, 1.00000000e-02,\n 5.00100000e-02, 7.00066667e-02, 9.00033333e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00937951, 0.0108708 , 0.0108708 , 0.0108708 ,\n 0.0108708 , 0.03008152, 0.03008152, 0.03008152, 0.03008152])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.75000000e-03, 3.40000000e-03,\n 5.05000000e-03, 6.70000000e-03, 8.35000000e-03,\n 1.00000000e-02, 5.00100000e-02, 8.00050000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00788881, 0.0090976 , 0.0090976 , 0.0090976 ,\n 0.0090976 , 0.0090976 , 0.019741 , 0.019741 , 0.019741 ])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 1.00000000e-04, 1.51428571e-03, 2.92857143e-03,\n 4.34285714e-03, 5.75714286e-03, 7.17142857e-03,\n 8.58571429e-03, 1.00000000e-02, 5.00100000e-02,\n 1.10000000e-01])\npvalscorr=array([ 0.0010001 , 0.00682462, 0.00783246, 0.00783246, 0.00783246,\n 0.00783246, 0.00783246, 0.00783246, 0.01169837, 0.01235955])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 0.0001 , 0.0013375, 0.002575 , 0.0038125, 0.00505 ,\n 0.0062875, 0.007525 , 0.0087625, 0.01 , 0.05001 ])\npvalscorr=array([ 0.0010001 , 0.00602681, 0.00688439, 0.00688439, 0.00688439,\n 0.00688439, 0.00688439, 0.00688439, 0.00688439, 0.00688439])') ... ok statsmodels.stats.tests.test_multi.test_pvalcorrection_reject(array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), array([ True, True, True, True, True, True, True, True, True, True], dtype=bool), 'case fdr_gbs 0.10 rejected:10\npval_raw=array([ 0.0001, 0.0012, 0.0023, 0.0034, 0.0045, 0.0056, 0.0067,\n 0.0078, 0.0089, 0.01 ])\npvalscorr=array([ 0.0010001 , 0.00540649, 0.00614747, 0.00614747, 0.00614747,\n 0.00614747, 0.00614747, 0.00614747, 0.00614747, 0.00614747])') ... ok statsmodels.stats.tests.test_multi.test_hommel ... ok statsmodels.stats.tests.test_multi.test_fdr_bky ... ok statsmodels.stats.tests.test_multi.test_tukeyhsd ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_exact ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_chisquare ... ok statsmodels.stats.tests.test_nonparametric.test_mcnemar_vectorized ... ok statsmodels.stats.tests.test_nonparametric.test_symmetry_bowker ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq2 ... ok statsmodels.stats.tests.test_nonparametric.test_cochransq3 ... ok statsmodels.stats.tests.test_nonparametric.test_runstest ... ok statsmodels.stats.tests.test_nonparametric.test_runstest_2sample ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD2s.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD3.test_shortcut_function ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_group_tukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_hochberg_intervals ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_multicomptukey ... ok statsmodels.stats.tests.test_pairwise.TestTuckeyHSD4.test_shortcut_function ... ok statsmodels.stats.tests.test_panel_robustcov.test_panel_robust_cov ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_positional ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_power ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_power_plot ... ok statsmodels.stats.tests.test_power.TestChisquarePower.test_roots ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_positional ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_power ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_power_plot ... ok statsmodels.stats.tests.test_power.TestFtestAnovaPower.test_roots ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_positional ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_power ... ok statsmodels.stats.tests.test_power.TestFtestPower.test_power_plot ... SKIP: skip FTestPower plot_power statsmodels.stats.tests.test_power.TestFtestPower.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower1.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower2.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp1.test_roots ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_positional ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_power ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestNormalIndPower_onesamp2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS1.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS3.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS4.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS5.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerOneS6.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS1.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS2.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS3.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS4.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS5.test_roots ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_positional ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_power ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_power_plot ... ok statsmodels.stats.tests.test_power.TestTTPowerTwoS6.test_roots ... ok statsmodels.stats.tests.test_power.test_normal_power_explicit ... ok statsmodels.stats.tests.test_power.test_ftest_power ... ok statsmodels.stats.tests.test_power.test_power_solver ... ok statsmodels.stats.tests.test_power.test_power_solver_warn ... ok statsmodels.stats.tests.test_proportion.TestProportion.test_pairwiseproptest ... ok statsmodels.stats.tests.test_proportion.TestProportion.test_proptest ... ok statsmodels.stats.tests.test_proportion.test_confint_proportion ... ok statsmodels.stats.tests.test_proportion.test_samplesize_confidenceinterval_prop ... ok statsmodels.stats.tests.test_proportion.test_proportion_effect_size ... ok statsmodels.stats.tests.test_proportion.test_binom_test ... ok statsmodels.stats.tests.test_proportion.test_binom_rejection_interval ... ok statsmodels.stats.tests.test_proportion.test_binom_tost ... ok statsmodels.stats.tests.test_proportion.test_power_binom_tost ... ok statsmodels.stats.tests.test_proportion.test_power_ztost_prop ... ok statsmodels.stats.tests.test_proportion.test_ztost ... ok statsmodels.stats.tests.test_proportion.test_power_ztost_prop_norm ... ok statsmodels.stats.tests.test_proportion.test_proportion_ztests ... ok statsmodels.stats.tests.test_qsturng.test_qstrung ... ok statsmodels.stats.tests.test_sandwich.test_cov_cluster_2groups ... ok statsmodels.stats.tests.test_sandwich.test_hac_simple ... ok statsmodels.stats.tests.test_statstools.test_durbin_watson ... ok statsmodels.stats.tests.test_statstools.test_omni_normtest ... ok statsmodels.stats.tests.test_statstools.test_omni_normtest_axis ... ok statsmodels.stats.tests.test_statstools.test_jarque_bera ... ok statsmodels.stats.tests.test_statstools.test_shapiro ... ok statsmodels.stats.tests.test_statstools.test_adnorm ... ok statsmodels.stats.tests.test_statstools.test_durbin_watson_pandas ... ok statsmodels.stats.tests.test_tost.TestTosti1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTosti2.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostip1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostip2.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostp1.test_pval ... ok statsmodels.stats.tests.test_tost.TestTostp1.test_special ... ok statsmodels.stats.tests.test_tost.TestTostp2.test_pval ... ok statsmodels.stats.tests.test_tost.test_tost_log ... ok statsmodels.stats.tests.test_tost.test_tost_asym ... ok statsmodels.stats.tests.test_tost.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_1 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_2 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_3 ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats.test_weightstats_ddof_tests ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats1d_ddof.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_ddof.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_basic ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_confint_mean ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_corr ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_ttest ... ok statsmodels.stats.tests.test_weightstats.TestWeightstats2d_nobs.test_ttest_2sample ... ok statsmodels.stats.tests.test_weightstats.TestZTest.test ... ok statsmodels.stats.tests.test_weightstats.test_ttest_ind_with_uneq_var ... ok statsmodels.stats.tests.test_weightstats.test_ztest_ztost ... ok statsmodels.tools.tests.test_catadd.test_add_indep ... ok Fixes GH: #144 ... ok statsmodels.tools.tests.test_data.test_structarray ... ok statsmodels.tools.tests.test_data.test_recarray ... ok statsmodels.tools.tests.test_data.test_dataframe ... ok statsmodels.tools.tests.test_data.test_patsy_577 ... ok statsmodels.tools.tests.test_eval_measures.test_eval_measures ... ok statsmodels.tools.tests.test_eval_measures.test_ic ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun1.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_grad_fun1_fdc ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_hess_fun1_cs ... ok statsmodels.tools.tests.test_numdiff.TestDerivativeFun2.test_hess_fun1_fd ... ok statsmodels.tools.tests.test_numdiff.TestGradLogit.test_hess ... ok statsmodels.tools.tests.test_numdiff.TestGradLogit.test_score ... ok statsmodels.tools.tests.test_numdiff.TestGradMNLogit.test_hess ... ok statsmodels.tools.tests.test_numdiff.TestGradMNLogit.test_score ... ok statsmodels.tools.tests.test_parallel.test_parallel ... ok statsmodels.tools.tests.test_rootfinding.test_brentq_expanding ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_array2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_recarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalNumerical.test_structarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_array2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_arraylike2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_recarray2dint ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray1d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray1d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2d ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2d_drop ... ok statsmodels.tools.tests.test_tools.TestCategoricalString.test_structarray2dint ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_11 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_12 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_13 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_14 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_23 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_24 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_25 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_32 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_41 ... ok statsmodels.tools.tests.test_tools.TestNanDot.test_66 ... ok test_add_constant_1d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_has_constant1d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_has_constant2d (statsmodels.tools.tests.test_tools.TestTools) ... ok test_add_constant_list (statsmodels.tools.tests.test_tools.TestTools) ... ok test_extendedpinv (statsmodels.tools.tests.test_tools.TestTools) ... ok test_extendedpinv_singular (statsmodels.tools.tests.test_tools.TestTools) ... ok test_fullrank (statsmodels.tools.tests.test_tools.TestTools) ... ok test_rank (statsmodels.tools.tests.test_tools.TestTools) ... ok test_recipr (statsmodels.tools.tests.test_tools.TestTools) ... ok test_recipr0 (statsmodels.tools.tests.test_tools.TestTools) ... ok statsmodels.tools.tests.test_tools.test_estimable ... ok statsmodels.tools.tests.test_tools.test_rec_issue302 ... ok statsmodels.tools.tests.test_tools.test_issue302 ... ok statsmodels.tools.tests.test_tools.test_pandas_const_series ... ok statsmodels.tools.tests.test_tools.test_pandas_const_series_prepend ... ok statsmodels.tools.tests.test_tools.test_pandas_const_df ... ok statsmodels.tools.tests.test_tools.test_pandas_const_df_prepend ... ok statsmodels.tools.tests.test_tools.test_chain_dot ... ok statsmodels.tsa.base.tests.test_base.test_pandas_nodates_index ... ok statsmodels.tsa.base.tests.test_base.test_predict_freq ... ok statsmodels.tsa.base.tests.test_base.test_keyerror_start_date ... ok statsmodels.tsa.base.tests.test_datetools.test_date_from_idx ... ok statsmodels.tsa.base.tests.test_datetools.test_idx_from_date ... ok statsmodels.tsa.base.tests.test_datetools.test_regex_matching_month ... ok statsmodels.tsa.base.tests.test_datetools.test_regex_matching_quarter ... ok statsmodels.tsa.base.tests.test_datetools.test_dates_from_range ... ok statsmodels.tsa.base.tests.test_datetools.test_infer_freq ... ok Test Baxter King band-pass filter. Results are taken from Stata ... ok Test Baxter-King band-pass filter with 2d input ... ok Test Hodrick-Prescott Filter. Results taken from Stata. ... ok Test Christiano-Fitzgerald Filter. Results taken from R. ... ok statsmodels.tsa.filters.tests.test_filters.test_bking_pandas ... ok statsmodels.tsa.filters.tests.test_filters.test_cfitz_pandas ... ok statsmodels.tsa.filters.tests.test_filters.test_hpfilter_pandas ... ok statsmodels.tsa.interp.tests.test_denton.test_denton_quarterly ... ok statsmodels.tsa.interp.tests.test_denton.test_denton_quarterly2 ... ok statsmodels.tsa.vector_ar.tests.test_svar.TestSVAR.test_A ... ok statsmodels.tsa.vector_ar.tests.test_svar.TestSVAR.test_B ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_acf ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_acorr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_aic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_bic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_causality ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_constructor ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_cov_params ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_cov_ybar ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_detsig ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_cov ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_plot ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_repr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fevd_summary ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_forecast ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_forecast_interval ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_fpe ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_get_eq_index ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_hqic ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_irf_coefs ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_is_stable ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_lagorder_select ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_loglike ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_ma_rep ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_names ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_nobs ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_params ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_pickle ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_acorr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_cum_effects ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_forecast ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_irf ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_plot_sim ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_pvalues ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_reorder ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_repr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_select_order ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_summary ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResults.test_tstat ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_approx_mse ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_cum_irf_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_irf_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.TestVARResultsLutkepohl.test_lr_effect_stderr ... ok statsmodels.tsa.vector_ar.tests.test_var.test_lutkepohl_parse ... ok statsmodels.tsa.vector_ar.tests.test_var.test_get_trendorder ... ok statsmodels.tsa.tests.test_adfuller_lag.test_adf_autolag ... ok statsmodels.tsa.tests.test_ar.TestARMLEConstant.test_dynamic_predict ... ok statsmodels.tsa.tests.test_ar.TestARMLEConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_bse ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_fpe ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_llf ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_params ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_pickle ... ok statsmodels.tsa.tests.test_ar.TestAROLSConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_bse ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_fpe ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_llf ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_params ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_pickle ... ok statsmodels.tsa.tests.test_ar.TestAROLSNoConstant.test_predict ... ok statsmodels.tsa.tests.test_ar.TestAutolagAR.test_ic ... ok statsmodels.tsa.tests.test_ar.test_ar_dates ... ok statsmodels.tsa.tests.test_ar.test_ar_named_series ... ok statsmodels.tsa.tests.test_ar.test_ar_start_params ... ok statsmodels.tsa.tests.test_ar.test_ar_series ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA101.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_dynamic_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_freq ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_dynamic_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA111CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_freq ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_order ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_predict_levels ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_ARIMA112CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA02_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_pickle ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA11_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA14_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA22_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA41_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_Const_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_forecast ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_forecasterr ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst.test_tvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_aic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_arroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_bic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_bse ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_covparams ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_fittedvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_hqic ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_llf ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_maroots ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_params ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_pvalues ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_resid ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_sigma2 ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_summary ... ok statsmodels.tsa.tests.test_arima.Test_Y_ARMA50_NoConst_CSS.test_tvalues ... ok statsmodels.tsa.tests.test_arima.test_compare_arma ... ok statsmodels.tsa.tests.test_arima.test_reset_trend ... ok statsmodels.tsa.tests.test_arima.test_start_params_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle_dates ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_mle_dates ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css_dates ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_css_dates ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle ... ok statsmodels.tsa.tests.test_arima.test_arma_predict_indices ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_indices ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_indices_css ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_css_diffs ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_mle_diffs ... ok statsmodels.tsa.tests.test_arima.test_arima_wrapper ... ok statsmodels.tsa.tests.test_arima.test_1dexog ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_q2 ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_pandas_nofreq ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_exog ... ok statsmodels.tsa.tests.test_arima.test_arima_no_diff ... ok statsmodels.tsa.tests.test_arima.test_arima_predict_noma ... ok statsmodels.tsa.tests.test_arima.test_arimax ... ok statsmodels.tsa.tests.test_arima.test_bad_start_params ... ok statsmodels.tsa.tests.test_arima.test_arima_small_data_bug ... ok statsmodels.tsa.tests.test_arima.test_arima_dataframe_integer_name ... ok statsmodels.tsa.tests.test_arima.test_arima_exog_predict_1d ... ok statsmodels.tsa.tests.test_arima.test_arima_1123 ... ok statsmodels.tsa.tests.test_arima.test_small_data ... /build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/model.py:402: Warning: Inverting hessian failed, no bse or cov_params available warn(warndoc, Warning) ok statsmodels.tsa.tests.test_arima.test_arima00 ... ok statsmodels.tsa.tests.test_arima_process.test_arma_acovf ... ok statsmodels.tsa.tests.test_arima_process.test_arma_acf ... ok statsmodels.tsa.tests.test_arima_process.test_arma_generate_sample ... ok statsmodels.tsa.tests.test_arima_process.test_fi ... ok statsmodels.tsa.tests.test_arima_process.test_arma_impulse_response ... ok statsmodels.tsa.tests.test_arima_process.test_spectrum ... ok statsmodels.tsa.tests.test_arima_process.test_armafft ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_acf ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_confint ... ok statsmodels.tsa.tests.test_stattools.TestACF.test_qstat ... ok statsmodels.tsa.tests.test_stattools.TestACF_FFT.test_acf ... ok statsmodels.tsa.tests.test_stattools.TestACF_FFT.test_qstat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstant2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFConstantTrend2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_critvalues ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_pvalue ... ok statsmodels.tsa.tests.test_stattools.TestADFNoConstant2.test_teststat ... ok statsmodels.tsa.tests.test_stattools.TestCoint_t.test_tstat ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_ld ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_ols ... ok statsmodels.tsa.tests.test_stattools.TestPACF.test_yw ... ok statsmodels.tsa.tests.test_stattools.test_grangercausality ... ok statsmodels.tsa.tests.test_stattools.test_pandasacovf ... ok statsmodels.tsa.tests.test_stattools.test_acovf2d ... ok statsmodels.tsa.tests.test_tsa_tools.test_acf ... ok statsmodels.tsa.tests.test_tsa_tools.test_ccf ... ok statsmodels.tsa.tests.test_tsa_tools.test_pacf_yw ... ok statsmodels.tsa.tests.test_tsa_tools.test_pacf_ols ... ok statsmodels.tsa.tests.test_tsa_tools.test_ywcoef ... ok statsmodels.tsa.tests.test_tsa_tools.test_duplication_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_elimination_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_commutation_matrix ... ok statsmodels.tsa.tests.test_tsa_tools.test_vec ... ok statsmodels.tsa.tests.test_tsa_tools.test_vech ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_insert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert_atend ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsert_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_noinsertatend_ndarray ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d_drop ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag1d_struct ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_1d_drop_struct ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_drop_insert ... ok statsmodels.tsa.tests.test_tsa_tools.test_add_lag_drop_noinsert ... ok ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 149, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC0.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 177, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC1.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 204, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 232, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova2HC3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 259, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 25.0%) x: array([ 1., 2., 2., 0.]) y: array([ 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 286, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC0.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 314, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC1.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 341, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC2.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 368, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ====================================================================== FAIL: statsmodels.stats.tests.test_anova.TestAnova3HC3.test_results ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/build/buildd/statsmodels-0.6.0~ppa18~revno/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests/test_anova.py", line 395, in test_results np.testing.assert_equal(results['df'].values, Df) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 257, in assert_equal return assert_array_equal(actual, desired, err_msg, verbose) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 719, in assert_array_equal verbose=verbose, header='Arrays are not equal') File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 645, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 20.0%) x: array([ 1., 1., 2., 2., 0.]) y: array([ 1, 1, 2, 2, 51]) ---------------------------------------------------------------------- Ran 3022 tests in 734.390s FAILED (SKIP=24, failures=10) Optimization terminated successfully. Current function value: 1.792972 Iterations: 386 Function evaluations: 588 joblib not installed. Cannot run in parallel. Optimization terminated successfully. Current function value: 5.327270 Iterations: 355 Function evaluations: 706 dh override_dh_auto_install make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_install make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_install : # Remove compiled due to testing files find debian -name *.pyc -delete : # strip docs/ since they aren't really a Python module, there is -doc for it : # TODO find debian -wholename \*scikits/statsmodels/docs | xargs rm -rf find debian -iname COPYING -o -iname LICENSE* | xargs -r rm -f make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' debian/rules override_dh_installdocs make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' : # Use jquery from Debian package, so prune shipped one rm ./build/html/_static/jquery.js rm: cannot remove './build/html/_static/jquery.js': No such file or directory make[1]: [override_dh_installdocs] Error 1 (ignored) dh_installdocs make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_installchangelogs -i dh_installexamples -i dh_installman -i dh_installcatalogs -i dh_installcron -i dh_installdebconf -i dh_installemacsen -i dh_installifupdown -i dh_installinfo -i debian/rules override_dh_pysupport make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' : # Move platform-specific libraries into -lib for lib in $(find debian/python-statsmodels/usr -name '*.so'); do \ sdir=$(dirname $lib) ; \ tdir=debian/python-statsmodels-lib/${sdir#*python-statsmodels/} ; \ mkdir -p $tdir ; \ echo "I: Moving '$lib' into '$tdir'." ; \ mv $lib $tdir ; \ done I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalman_loglike.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_smoothers_lowess.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/linbin.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. if [ -x /usr/bin/dh_numpy ]; then dh_numpy -ppython-statsmodels-lib; fi dh_numpy: No packages to build. : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/python-statsmodels/python-scikits.statsmodels/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done dh_pysupport dh_pysupport: This program is deprecated, you should use dh_python2 instead. Migration guide: http://deb.li/dhs2p make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_installinit -i dh_installmenu -i dh_installmime -i dh_installmodules -i dh_installlogcheck -i dh_installlogrotate -i dh_installpam -i dh_installppp -i dh_installudev -i dh_installwm -i dh_installxfonts -i dh_installgsettings -i dh_bugfiles -i dh_ucf -i dh_lintian -i dh_gconf -i dh_icons -i dh_perl -i dh_usrlocal -i dh_link -i debian/rules override_dh_compress make[1]: Entering directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -X.inv -Xobjects.inv make[1]: Leaving directory `/build/buildd/statsmodels-0.6.0~ppa18~revno' dh_fixperms -i dh_installdeb -i dh_gencontrol -i dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dpkg-gencontrol: warning: package python-statsmodels: unused substitution variable ${python:Versions} dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dpkg-gencontrol: warning: Depends field of package python-scikits.statsmodels: unknown substitution variable ${python:Depends} dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dh_md5sums -i dh_builddeb -i INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels' in `../python-statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels-doc/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels-doc' in `../python-statsmodels-doc_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-scikits.statsmodels/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-scikits.statsmodels' in `../python-scikits.statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. dh binary dh_builddeb INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels' in `../python-statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels-lib/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels-lib' in `../python-statsmodels-lib_0.6.0~ppa18~revno-1505~ubuntu13.04.1_i386.deb'. INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-statsmodels-doc/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-statsmodels-doc' in `../python-statsmodels-doc_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. INFO: pkgstriptranslations version 117 INFO: Disabling pkgstriptranslations for PPA build INFO: Disabling pkgmaintainermangler for PPA build INFO: Disabling pkgstripfiles for PPA build dpkg-deb: warning: 'debian/python-scikits.statsmodels/DEBIAN/control' contains user-defined field 'Original-Maintainer' dpkg-deb: warning: ignoring 1 warning about the control file(s) dpkg-deb: building package `python-scikits.statsmodels' in `../python-scikits.statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb'. dpkg-genchanges -b -mUbuntu Build Daemon >../statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_i386.changes dpkg-genchanges: binary-only upload - not including any source code dpkg-source --after-build statsmodels-0.6.0~ppa18~revno dpkg-buildpackage: binary only upload (no source included) ****************************************************************************** Build finished at 20131216-2138 chroot-autobuild/build/buildd/python-statsmodels-lib_0.6.0~ppa18~revno-1505~ubuntu13.04.1_i386.deb: new debian package, version 2.0. size 261864 bytes: control archive= 1262 bytes. 1114 bytes, 24 lines control 569 bytes, 6 lines md5sums 199 bytes, 7 lines * postinst #!/bin/sh 202 bytes, 7 lines * prerm #!/bin/sh Package: python-statsmodels-lib Source: statsmodels Version: 0.6.0~ppa18~revno-1505~ubuntu13.04.1 Architecture: i386 Maintainer: Tim Michelsen Installed-Size: 359 Depends: python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.7-0~b1), python-numpy-abi9, python-support (>= 0.90.0), libc6 (>= 2.4) Conflicts: python-scikits-statsmodels Replaces: python-scikits-statsmodels Section: python Priority: extra Homepage: http://statsmodels.sourceforge.net/ Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. . ATTENTION: . THIS VERSION WAS AUTOMATICALLY BUILT FROM BY LAUNCHPAD FROM THE LATEST SOURCE IMPORTED FROM https://github.com/statsmodels/statsmodels. THE revno IS THE NUMBER OF THE BZR AT: lp:~pythonxy/statsmodels/trunk THE CODE MAY NOT BE AS STABLE AS THE ORIGINAL UBUNTU PACKAGE. ANY TESTS ARE DISABLED FOR THE BUILDS. IF YOU ARE AWARE OF THE CONSEQUENCES, YOU MAY ENJOY THE BLEEDING EDGE CODE ON DAILY BASIS. Original-Maintainer: NeuroDebian Team chroot-autobuild/build/buildd/python-statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb: new debian package, version 2.0. size 4615850 bytes: control archive= 22158 bytes. 1559 bytes, 30 lines control 72083 bytes, 755 lines md5sums 195 bytes, 7 lines * postinst #!/bin/sh 198 bytes, 7 lines * prerm #!/bin/sh Package: python-statsmodels Source: statsmodels Version: 0.6.0~ppa18~revno-1505~ubuntu13.04.1 Architecture: all Maintainer: Tim Michelsen Installed-Size: 19888 Depends: python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy, python-patsy, python-statsmodels-lib (>= 0.6.0~ppa18~revno-1505~ubuntu13.04.1) Recommends: python-pandas, python-matplotlib, python-nose, python-joblib Conflicts: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.7-statsmodels Section: python Priority: extra Homepage: http://statsmodels.sourceforge.net/ Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. . ATTENTION: . THIS VERSION WAS AUTOMATICALLY BUILT FROM BY LAUNCHPAD FROM THE LATEST SOURCE IMPORTED FROM https://github.com/statsmodels/statsmodels. THE revno IS THE NUMBER OF THE BZR AT: lp:~pythonxy/statsmodels/trunk THE CODE MAY NOT BE AS STABLE AS THE ORIGINAL UBUNTU PACKAGE. ANY TESTS ARE DISABLED FOR THE BUILDS. IF YOU ARE AWARE OF THE CONSEQUENCES, YOU MAY ENJOY THE BLEEDING EDGE CODE ON DAILY BASIS. Original-Maintainer: NeuroDebian Team chroot-autobuild/build/buildd/python-statsmodels-doc_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb: new debian package, version 2.0. size 5616 bytes: control archive= 858 bytes. 1026 bytes, 25 lines control 172 bytes, 2 lines md5sums Package: python-statsmodels-doc Source: statsmodels Version: 0.6.0~ppa18~revno-1505~ubuntu13.04.1 Architecture: all Maintainer: Tim Michelsen Installed-Size: 32 Depends: libjs-jquery Suggests: python-statsmodels Conflicts: python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc Section: doc Priority: extra Homepage: http://statsmodels.sourceforge.net/ Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. . ATTENTION: . THIS VERSION WAS AUTOMATICALLY BUILT FROM BY LAUNCHPAD FROM THE LATEST SOURCE IMPORTED FROM https://github.com/statsmodels/statsmodels. THE revno IS THE NUMBER OF THE BZR AT: lp:~pythonxy/statsmodels/trunk THE CODE MAY NOT BE AS STABLE AS THE ORIGINAL UBUNTU PACKAGE. ANY TESTS ARE DISABLED FOR THE BUILDS. IF YOU ARE AWARE OF THE CONSEQUENCES, YOU MAY ENJOY THE BLEEDING EDGE CODE ON DAILY BASIS. Original-Maintainer: NeuroDebian Team chroot-autobuild/build/buildd/python-scikits.statsmodels_0.6.0~ppa18~revno-1505~ubuntu13.04.1_all.deb: new debian package, version 2.0. size 5366 bytes: control archive= 601 bytes. 582 bytes, 14 lines control 180 bytes, 2 lines md5sums Package: python-scikits.statsmodels Source: statsmodels Version: 0.6.0~ppa18~revno-1505~ubuntu13.04.1 Architecture: all Maintainer: Tim Michelsen Installed-Size: 32 Depends: python-statsmodels Section: oldlibs Priority: extra Homepage: http://statsmodels.sourceforge.net/ Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. 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python-statsmodels-lib python-statsmodels-doc python-scikits.statsmodels Architecture: i386 all Version: 0.6.0~ppa18~revno-1505~ubuntu13.04.1 Distribution: raring Urgency: low Maintainer: Ubuntu Build Daemon Changed-By: Launchpad Package Builder Description: python-scikits.statsmodels - transitional compatibility package for statsmodels migration python-statsmodels - Python module for the estimation of statistical models python-statsmodels-doc - documentation and examples for statsmodels python-statsmodels-lib - low-level implementations and bindings for statsmodels Changes: statsmodels (0.6.0~ppa18~revno-1505~ubuntu13.04.1) raring; urgency=low . * Auto build. 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RUN: /usr/share/launchpad-buildd/slavebin/umount-chroot ['umount-chroot', 'PACKAGEBUILD-5356494'] Unmounting chroot for build PACKAGEBUILD-5356494... RUN: /usr/share/launchpad-buildd/slavebin/remove-build ['remove-build', 'PACKAGEBUILD-5356494'] Removing build PACKAGEBUILD-5356494