RUN: /usr/share/launchpad-buildd/slavebin/slave-prep ['slave-prep'] Forking launchpad-buildd slave process... Kernel version: Linux denneed04 3.13.0-16-generic #36-Ubuntu SMP Tue Mar 4 23:03:28 UTC 2014 ppc64le Buildd toolchain package versions: launchpad-buildd_122~0.IS.8.04 python-lpbuildd_122~0.IS.8.04 dpkg-dev_1.17.5ubuntu4. Syncing the system clock with the buildd NTP service... 17 Jun 17:56:41 ntpdate[24735]: adjust time server 10.211.37.1 offset -0.001832 sec RUN: /usr/share/launchpad-buildd/slavebin/unpack-chroot ['unpack-chroot', 'PACKAGEBUILD-5955561', '/home/buildd/filecache-default/5e6f0bbc83836b22d5fd40563f9818b6f59231d2'] Unpacking chroot for build PACKAGEBUILD-5955561 RUN: /usr/share/launchpad-buildd/slavebin/mount-chroot ['mount-chroot', 'PACKAGEBUILD-5955561'] Mounting chroot for build PACKAGEBUILD-5955561 RUN: /usr/share/launchpad-buildd/slavebin/override-sources-list ['override-sources-list', 'PACKAGEBUILD-5955561', 'deb http://ftpmaster.internal/ubuntu utopic main universe'] Overriding sources.list in build-PACKAGEBUILD-5955561 RUN: /usr/share/launchpad-buildd/slavebin/update-debian-chroot ['update-debian-chroot', 'PACKAGEBUILD-5955561', 'ppc64el'] Updating debian chroot for build PACKAGEBUILD-5955561 Ign http://ftpmaster.internal utopic InRelease Ign http://archive-team.internal utopic InRelease Ign http://archive-team.internal utopic Release.gpg Get:1 http://ftpmaster.internal utopic Release.gpg [933 B] Hit http://archive-team.internal utopic Release Get:2 http://ftpmaster.internal utopic Release [58.5 kB] Ign http://archive-team.internal utopic/main ppc64el Packages/DiffIndex Get:3 http://ftpmaster.internal utopic/main ppc64el Packages [1283 kB] Ign http://archive-team.internal utopic/main Translation-en Hit http://archive-team.internal utopic/main ppc64el Packages Get:4 http://ftpmaster.internal utopic/universe ppc64el Packages [5644 kB] Get:5 http://ftpmaster.internal utopic/main Translation-en [770 kB] Get:6 http://ftpmaster.internal utopic/universe Translation-en [4214 kB] Fetched 12.0 MB in 8s (1369 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... The following NEW packages will be installed: init-system-helpers The following packages will be upgraded: apt apt-transport-https bash binutils bsdutils busybox-initramfs ca-certificates cpp cpp-4.8 dpkg dpkg-dev e2fslibs e2fsprogs fakeroot g++ g++-4.8 gcc gcc-4.8 gcc-4.8-base gcc-4.9-base hostname ifupdown initramfs-tools initramfs-tools-bin initscripts kmod libapt-pkg4.12 libasn1-8-heimdal libatomic1 libblkid1 libcgmanager0 libcomerr2 libdbus-1-3 libdebconfclient0 libdpkg-perl libdrm2 libfakeroot libffi6 libgcc-4.8-dev libgcc1 libgmp10 libgnutls26 libgnutls28 libgomp1 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libitm1 libkmod2 libkrb5-26-heimdal libmount1 libnih-dbus1 libnih1 libpam-modules libpam-modules-bin libpam-runtime libpam0g libplymouth2 libprocps3 libroken18-heimdal libselinux1 libsemanage-common libsemanage1 libsepol1 libss2 libssl1.0.0 libstdc++-4.8-dev libstdc++6 libtasn1-6 libudev1 libuuid1 libwind0-heimdal linux-libc-dev login lsb-base make module-init-tools mount mountall openssl optipng passwd perl perl-base perl-modules plymouth procps sysv-rc sysvinit-utils tzdata udev upstart util-linux 95 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 41.3 MB of archives. After this operation, 2237 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu/ utopic/main bash ppc64el 4.3-7ubuntu3 [611 kB] Get:2 http://ftpmaster.internal/ubuntu/ utopic/main dpkg ppc64el 1.17.10ubuntu1 [2024 kB] Get:3 http://ftpmaster.internal/ubuntu/ utopic/main e2fslibs ppc64el 1.42.10-1ubuntu1 [187 kB] Get:4 http://ftpmaster.internal/ubuntu/ utopic/main e2fsprogs ppc64el 1.42.10-1ubuntu1 [674 kB] Get:5 http://ftpmaster.internal/ubuntu/ utopic/main libselinux1 ppc64el 2.3-1 [58.3 kB] Get:6 http://ftpmaster.internal/ubuntu/ utopic/main init-system-helpers all 1.19 [12.5 kB] Get:7 http://ftpmaster.internal/ubuntu/ utopic/main plymouth ppc64el 0.8.8-0ubuntu18 [95.7 kB] Get:8 http://ftpmaster.internal/ubuntu/ utopic/main libplymouth2 ppc64el 0.8.8-0ubuntu18 [73.9 kB] Get:9 http://ftpmaster.internal/ubuntu/ utopic/main initramfs-tools-bin ppc64el 0.103ubuntu7 [8908 B] Get:10 http://ftpmaster.internal/ubuntu/ utopic/main initramfs-tools all 0.103ubuntu7 [44.6 kB] Get:11 http://ftpmaster.internal/ubuntu/ utopic/main mountall ppc64el 2.54 [51.5 kB] Get:12 http://ftpmaster.internal/ubuntu/ utopic/main upstart ppc64el 1.12.1-0ubuntu8 [340 kB] Get:13 http://ftpmaster.internal/ubuntu/ utopic/main lsb-base all 4.1+Debian11ubuntu8 [13.1 kB] Get:14 http://ftpmaster.internal/ubuntu/ utopic/main initscripts ppc64el 2.88dsf-41ubuntu16 [35.2 kB] Get:15 http://ftpmaster.internal/ubuntu/ utopic/main sysv-rc all 2.88dsf-41ubuntu16 [37.8 kB] Get:16 http://ftpmaster.internal/ubuntu/ utopic/main sysvinit-utils ppc64el 2.88dsf-41ubuntu16 [50.4 kB] Get:17 http://ftpmaster.internal/ubuntu/ utopic/main libdbus-1-3 ppc64el 1.6.18-0ubuntu8 [125 kB] Get:18 http://ftpmaster.internal/ubuntu/ utopic/main libnih-dbus1 ppc64el 1.0.3-4ubuntu26 [13.3 kB] Get:19 http://ftpmaster.internal/ubuntu/ utopic/main libnih1 ppc64el 1.0.3-4ubuntu26 [44.8 kB] Get:20 http://ftpmaster.internal/ubuntu/ utopic/main libpam0g ppc64el 1.1.8-3ubuntu1 [57.3 kB] Get:21 http://ftpmaster.internal/ubuntu/ utopic/main libsemanage-common all 2.3-1 [6278 B] Get:22 http://ftpmaster.internal/ubuntu/ utopic/main libsemanage1 ppc64el 2.3-1 [65.1 kB] Get:23 http://ftpmaster.internal/ubuntu/ utopic/main libsepol1 ppc64el 2.3-1 [100 kB] Get:24 http://ftpmaster.internal/ubuntu/ utopic/main libpam-modules-bin ppc64el 1.1.8-3ubuntu1 [34.6 kB] Get:25 http://ftpmaster.internal/ubuntu/ utopic/main libpam-modules ppc64el 1.1.8-3ubuntu1 [232 kB] Get:26 http://ftpmaster.internal/ubuntu/ utopic/main passwd ppc64el 1:4.1.5.1-1.1ubuntu1 [728 kB] Get:27 http://ftpmaster.internal/ubuntu/ utopic/main libuuid1 ppc64el 2.20.1-5.1ubuntu21 [11.6 kB] Get:28 http://ftpmaster.internal/ubuntu/ utopic/main libblkid1 ppc64el 2.20.1-5.1ubuntu21 [60.9 kB] Get:29 http://ftpmaster.internal/ubuntu/ utopic/main libcgmanager0 ppc64el 0.26-0ubuntu3 [23.5 kB] Get:30 http://ftpmaster.internal/ubuntu/ utopic/main libkmod2 ppc64el 16-2ubuntu4 [35.9 kB] Get:31 http://ftpmaster.internal/ubuntu/ utopic/main tzdata all 2014e-1 [190 kB] Get:32 http://ftpmaster.internal/ubuntu/ utopic/main util-linux ppc64el 2.20.1-5.1ubuntu21 [456 kB] Get:33 http://ftpmaster.internal/ubuntu/ utopic/main libprocps3 ppc64el 1:3.3.9-1ubuntu5 [31.3 kB] Get:34 http://ftpmaster.internal/ubuntu/ utopic/main procps ppc64el 1:3.3.9-1ubuntu5 [212 kB] Get:35 http://ftpmaster.internal/ubuntu/ utopic/main udev ppc64el 204-10ubuntu8 [723 kB] Get:36 http://ftpmaster.internal/ubuntu/ utopic/main libudev1 ppc64el 204-10ubuntu8 [35.9 kB] Get:37 http://ftpmaster.internal/ubuntu/ utopic/main perl-modules all 5.18.2-4 [2691 kB] Get:38 http://ftpmaster.internal/ubuntu/ utopic/main perl ppc64el 5.18.2-4 [2569 kB] Get:39 http://ftpmaster.internal/ubuntu/ utopic/main perl-base ppc64el 5.18.2-4 [1068 kB] Get:40 http://ftpmaster.internal/ubuntu/ utopic/main busybox-initramfs ppc64el 1:1.22.0-6ubuntu1 [194 kB] Get:41 http://ftpmaster.internal/ubuntu/ utopic/main kmod ppc64el 16-2ubuntu4 [83.4 kB] Get:42 http://ftpmaster.internal/ubuntu/ utopic/main module-init-tools all 16-2ubuntu4 [2084 B] Get:43 http://ftpmaster.internal/ubuntu/ utopic/main libdrm2 ppc64el 2.4.54-1 [22.6 kB] Get:44 http://ftpmaster.internal/ubuntu/ utopic/main ifupdown ppc64el 0.7.48.1ubuntu4 [50.9 kB] Get:45 http://ftpmaster.internal/ubuntu/ utopic/main mount ppc64el 2.20.1-5.1ubuntu21 [114 kB] Get:46 http://ftpmaster.internal/ubuntu/ utopic/main hostname ppc64el 3.15ubuntu2 [11.5 kB] Get:47 http://ftpmaster.internal/ubuntu/ utopic/main login ppc64el 1:4.1.5.1-1.1ubuntu1 [299 kB] Get:48 http://ftpmaster.internal/ubuntu/ utopic/main libitm1 ppc64el 4.9.0-7ubuntu2 [30.1 kB] Get:49 http://ftpmaster.internal/ubuntu/ utopic/main libgomp1 ppc64el 4.9.0-7ubuntu2 [35.2 kB] Get:50 http://ftpmaster.internal/ubuntu/ utopic/main gcc-4.9-base ppc64el 4.9.0-7ubuntu2 [15.3 kB] Get:51 http://ftpmaster.internal/ubuntu/ utopic/main libgcc1 ppc64el 1:4.9.0-7ubuntu2 [29.2 kB] Get:52 http://ftpmaster.internal/ubuntu/ utopic/main libatomic1 ppc64el 4.9.0-7ubuntu2 [8228 B] Get:53 http://ftpmaster.internal/ubuntu/ utopic/main libstdc++6 ppc64el 4.9.0-7ubuntu2 [294 kB] Get:54 http://ftpmaster.internal/ubuntu/ utopic/main libapt-pkg4.12 ppc64el 1.0.4ubuntu4 [633 kB] Get:55 http://ftpmaster.internal/ubuntu/ utopic/main apt ppc64el 1.0.4ubuntu4 [957 kB] Get:56 http://ftpmaster.internal/ubuntu/ utopic/main bsdutils ppc64el 1:2.20.1-5.1ubuntu21 [33.2 kB] Get:57 http://ftpmaster.internal/ubuntu/ utopic/main libcomerr2 ppc64el 1.42.10-1ubuntu1 [63.2 kB] Get:58 http://ftpmaster.internal/ubuntu/ utopic/main libdebconfclient0 ppc64el 0.191ubuntu1 [5994 B] Get:59 http://ftpmaster.internal/ubuntu/ utopic/main libmount1 ppc64el 2.20.1-5.1ubuntu21 [53.5 kB] Get:60 http://ftpmaster.internal/ubuntu/ utopic/main libss2 ppc64el 1.42.10-1ubuntu1 [67.3 kB] Get:61 http://ftpmaster.internal/ubuntu/ utopic/main libffi6 ppc64el 3.1-2 [18.6 kB] Get:62 http://ftpmaster.internal/ubuntu/ utopic/main libgmp10 ppc64el 2:6.0.0+dfsg-4 [209 kB] Get:63 http://ftpmaster.internal/ubuntu/ utopic/main libtasn1-6 ppc64el 3.6-3 [43.3 kB] Get:64 http://ftpmaster.internal/ubuntu/ utopic/main libgnutls28 ppc64el 3.2.15-1 [413 kB] Get:65 http://ftpmaster.internal/ubuntu/ utopic/main libssl1.0.0 ppc64el 1.0.1f-1ubuntu5 [769 kB] Get:66 http://ftpmaster.internal/ubuntu/ utopic/main libroken18-heimdal ppc64el 1.6~rc2+dfsg-7 [40.1 kB] Get:67 http://ftpmaster.internal/ubuntu/ utopic/main libasn1-8-heimdal ppc64el 1.6~rc2+dfsg-7 [134 kB] Get:68 http://ftpmaster.internal/ubuntu/ utopic/main libgnutls26 ppc64el 2.12.23-15ubuntu2 [358 kB] Get:69 http://ftpmaster.internal/ubuntu/ utopic/main libhcrypto4-heimdal ppc64el 1.6~rc2+dfsg-7 [94.9 kB] Get:70 http://ftpmaster.internal/ubuntu/ utopic/main libheimbase1-heimdal ppc64el 1.6~rc2+dfsg-7 [28.8 kB] Get:71 http://ftpmaster.internal/ubuntu/ utopic/main libwind0-heimdal ppc64el 1.6~rc2+dfsg-7 [48.1 kB] Get:72 http://ftpmaster.internal/ubuntu/ utopic/main libhx509-5-heimdal ppc64el 1.6~rc2+dfsg-7 [100 kB] Get:73 http://ftpmaster.internal/ubuntu/ utopic/main libkrb5-26-heimdal ppc64el 1.6~rc2+dfsg-7 [190 kB] Get:74 http://ftpmaster.internal/ubuntu/ utopic/main libheimntlm0-heimdal ppc64el 1.6~rc2+dfsg-7 [16.0 kB] Get:75 http://ftpmaster.internal/ubuntu/ utopic/main libgssapi3-heimdal ppc64el 1.6~rc2+dfsg-7 [83.9 kB] Get:76 http://ftpmaster.internal/ubuntu/ utopic/main libpam-runtime all 1.1.8-3ubuntu1 [39.7 kB] Get:77 http://ftpmaster.internal/ubuntu/ utopic/main apt-transport-https ppc64el 1.0.4ubuntu4 [24.8 kB] Get:78 http://ftpmaster.internal/ubuntu/ utopic/main openssl ppc64el 1.0.1f-1ubuntu5 [479 kB] Get:79 http://ftpmaster.internal/ubuntu/ utopic/main ca-certificates all 20140325 [184 kB] Get:80 http://ftpmaster.internal/ubuntu/ utopic/main binutils ppc64el 2.24.51.20140617-1ubuntu1 [2258 kB] Get:81 http://ftpmaster.internal/ubuntu/ utopic/main g++-4.8 ppc64el 4.8.3-3ubuntu2 [6231 kB] Get:82 http://ftpmaster.internal/ubuntu/ utopic/main libstdc++-4.8-dev ppc64el 4.8.3-3ubuntu2 [1091 kB] Get:83 http://ftpmaster.internal/ubuntu/ utopic/main libgcc-4.8-dev ppc64el 4.8.3-3ubuntu2 [245 kB] Get:84 http://ftpmaster.internal/ubuntu/ utopic/main gcc-4.8 ppc64el 4.8.3-3ubuntu2 [4867 kB] Get:85 http://ftpmaster.internal/ubuntu/ utopic/main cpp-4.8 ppc64el 4.8.3-3ubuntu2 [4446 kB] Get:86 http://ftpmaster.internal/ubuntu/ utopic/main gcc-4.8-base ppc64el 4.8.3-3ubuntu2 [14.8 kB] Get:87 http://ftpmaster.internal/ubuntu/ utopic/main cpp ppc64el 4:4.9.0-3ubuntu5 [27.7 kB] Get:88 http://ftpmaster.internal/ubuntu/ utopic/main dpkg-dev all 1.17.10ubuntu1 [714 kB] Get:89 http://ftpmaster.internal/ubuntu/ utopic/main libdpkg-perl all 1.17.10ubuntu1 [181 kB] Get:90 http://ftpmaster.internal/ubuntu/ utopic/main make ppc64el 4.0-8 [149 kB] Get:91 http://ftpmaster.internal/ubuntu/ utopic/main libfakeroot ppc64el 1.20-3ubuntu3 [22.5 kB] Get:92 http://ftpmaster.internal/ubuntu/ utopic/main fakeroot ppc64el 1.20-3ubuntu3 [54.2 kB] Get:93 http://ftpmaster.internal/ubuntu/ utopic/main gcc ppc64el 4:4.9.0-3ubuntu5 [5308 B] Get:94 http://ftpmaster.internal/ubuntu/ utopic/main g++ ppc64el 4:4.9.0-3ubuntu5 [1600 B] Get:95 http://ftpmaster.internal/ubuntu/ utopic/main linux-libc-dev ppc64el 3.15.0-6.11 [753 kB] Get:96 http://ftpmaster.internal/ubuntu/ utopic/main optipng ppc64el 0.7.5-1 [84.4 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 41.3 MB in 33s (1219 kB/s) (Reading database ... 11723 files and directories currently installed.) Preparing to unpack .../bash_4.3-7ubuntu3_ppc64el.deb ... Unpacking bash (4.3-7ubuntu3) over (4.3-7ubuntu1) ... Setting up bash (4.3-7ubuntu3) ... update-alternatives: using /usr/share/man/man7/bash-builtins.7.gz to provide /usr/share/man/man7/builtins.7.gz (builtins.7.gz) in auto mode (Reading database ... 11723 files and directories currently installed.) Preparing to unpack .../dpkg_1.17.10ubuntu1_ppc64el.deb ... Unpacking dpkg (1.17.10ubuntu1) over (1.17.9ubuntu1) ... Setting up dpkg (1.17.10ubuntu1) ... Installing new version of config file /etc/cron.daily/dpkg ... (Reading database ... 11723 files and directories currently installed.) Preparing to unpack .../e2fslibs_1.42.10-1ubuntu1_ppc64el.deb ... Unpacking e2fslibs:ppc64el (1.42.10-1ubuntu1) over (1.42.9-3ubuntu1) ... Setting up e2fslibs:ppc64el (1.42.10-1ubuntu1) ... Processing triggers for libc-bin (2.19-0ubuntu6) ... (Reading database ... 11723 files and directories currently installed.) 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Unpacking libpam0g:ppc64el (1.1.8-3ubuntu1) over (1.1.8-1ubuntu2) ... Setting up libpam0g:ppc64el (1.1.8-3ubuntu1) ... Processing triggers for libc-bin (2.19-0ubuntu6) ... (Reading database ... 11772 files and directories currently installed.) Preparing to unpack .../libsemanage-common_2.3-1_all.deb ... Unpacking libsemanage-common (2.3-1) over (2.2-1ubuntu1) ... Setting up libsemanage-common (2.3-1) ... (Reading database ... 11772 files and directories currently installed.) Preparing to unpack .../libsemanage1_2.3-1_ppc64el.deb ... Unpacking libsemanage1:ppc64el (2.3-1) over (2.2-1ubuntu1) ... Preparing to unpack .../libsepol1_2.3-1_ppc64el.deb ... Unpacking libsepol1:ppc64el (2.3-1) over (2.2-1) ... Setting up libsepol1:ppc64el (2.3-1) ... Setting up libsemanage1:ppc64el (2.3-1) ... Processing triggers for libc-bin (2.19-0ubuntu6) ... (Reading database ... 11772 files and directories currently installed.) Preparing to unpack .../libpam-modules-bin_1.1.8-3ubuntu1_ppc64el.deb ... Unpacking libpam-modules-bin (1.1.8-3ubuntu1) over (1.1.8-1ubuntu2) ... Setting up libpam-modules-bin (1.1.8-3ubuntu1) ... (Reading database ... 11772 files and directories currently installed.) Preparing to unpack .../libpam-modules_1.1.8-3ubuntu1_ppc64el.deb ... Unpacking libpam-modules:ppc64el (1.1.8-3ubuntu1) over (1.1.8-1ubuntu2) ... Setting up libpam-modules:ppc64el (1.1.8-3ubuntu1) ... (Reading database ... 11773 files and directories currently installed.) Preparing to unpack .../passwd_1%3a4.1.5.1-1.1ubuntu1_ppc64el.deb ... Unpacking passwd (1:4.1.5.1-1.1ubuntu1) over (1:4.1.5.1-1ubuntu9) ... Setting up passwd (1:4.1.5.1-1.1ubuntu1) ... (Reading database ... 11773 files and directories currently installed.) Preparing to unpack .../libuuid1_2.20.1-5.1ubuntu21_ppc64el.deb ... Unpacking libuuid1:ppc64el (2.20.1-5.1ubuntu21) over (2.20.1-5.1ubuntu20) ... Setting up libuuid1:ppc64el (2.20.1-5.1ubuntu21) ... Processing triggers for libc-bin (2.19-0ubuntu6) ... 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Setting up libhx509-5-heimdal:ppc64el (1.6~rc2+dfsg-7) ... Setting up libkrb5-26-heimdal:ppc64el (1.6~rc2+dfsg-7) ... Setting up libheimntlm0-heimdal:ppc64el (1.6~rc2+dfsg-7) ... Setting up libgssapi3-heimdal:ppc64el (1.6~rc2+dfsg-7) ... Setting up apt-transport-https (1.0.4ubuntu4) ... Setting up openssl (1.0.1f-1ubuntu5) ... Setting up ca-certificates (20140325) ... Setting up binutils (2.24.51.20140617-1ubuntu1) ... Setting up gcc-4.8-base:ppc64el (4.8.3-3ubuntu2) ... Setting up cpp-4.8 (4.8.3-3ubuntu2) ... Setting up libgcc-4.8-dev:ppc64el (4.8.3-3ubuntu2) ... Setting up gcc-4.8 (4.8.3-3ubuntu2) ... Setting up libstdc++-4.8-dev:ppc64el (4.8.3-3ubuntu2) ... Setting up g++-4.8 (4.8.3-3ubuntu2) ... Setting up cpp (4:4.9.0-3ubuntu5) ... Setting up make (4.0-8) ... Setting up libfakeroot:ppc64el (1.20-3ubuntu3) ... Setting up fakeroot (1.20-3ubuntu3) ... Setting up gcc (4:4.9.0-3ubuntu5) ... Setting up g++ (4:4.9.0-3ubuntu5) ... Setting up linux-libc-dev:ppc64el (3.15.0-6.11) ... Setting up optipng (0.7.5-1) ... Setting up mountall (2.54) ... Installing new version of config file /etc/init/mounted-proc.conf ... Setting up perl-modules (5.18.2-4) ... Setting up initscripts (2.88dsf-41ubuntu16) ... Installing new version of config file /etc/init.d/ondemand ... Setting up procps (1:3.3.9-1ubuntu5) ... Installing new version of config file /etc/init/procps.conf ... invoke-rc.d: policy-rc.d denied execution of start. Setting up udev (204-10ubuntu8) ... Installing new version of config file /etc/init.d/udev ... Installing new version of config file /etc/init/udev-finish.conf ... invoke-rc.d: policy-rc.d denied execution of restart. update-initramfs: deferring update (trigger activated) update-rc.d: warning: default start runlevel arguments (2 3 4 5) do not match udev Default-Start values (S) update-rc.d: warning: default stop runlevel arguments (0 1 6) do not match udev Default-Stop values (none) update-rc.d: warning: default start runlevel arguments (2 3 4 5) do not match udev-finish Default-Start values (S) update-rc.d: warning: default stop runlevel arguments (0 1 6) do not match udev-finish Default-Stop values (none) update-rc.d: warning: default start runlevel arguments (2 3 4 5) do not match lvm2 Default-Start values (S) update-rc.d: warning: default stop runlevel arguments (0 1 6) do not match lvm2 Default-Stop values (none) Setting up perl (5.18.2-4) ... Setting up init-system-helpers (1.19) ... Setting up initramfs-tools (0.103ubuntu7) ... update-initramfs: deferring update (trigger activated) Setting up ifupdown (0.7.48.1ubuntu4) ... Installing new version of config file /etc/init/network-interface.conf ... update-rc.d: warning: default start runlevel arguments (2 3 4 5) do not match networking Default-Start values (S) update-rc.d: warning: default stop runlevel arguments (0 1 6) do not match networking Default-Stop values (0 6) Setting up upstart (1.12.1-0ubuntu8) ... Installing new version of config file /etc/cron.daily/upstart ... Installing new version of config file /etc/upstart-xsessions ... Setting up libdpkg-perl (1.17.10ubuntu1) ... Setting up dpkg-dev (1.17.10ubuntu1) ... Setting up plymouth (0.8.8-0ubuntu18) ... update-initramfs: deferring update (trigger activated) Processing triggers for libc-bin (2.19-0ubuntu6) ... Processing triggers for ca-certificates (20140325) ... Updating certificates in /etc/ssl/certs... 7 added, 3 removed; done. Running hooks in /etc/ca-certificates/update.d....done. Processing triggers for initramfs-tools (0.103ubuntu7) ... RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package ['sbuild-package', 'PACKAGEBUILD-5955561', 'ppc64el', 'utopic', '--nolog', '--batch', '--archive=ubuntu', '--dist=utopic', '--purpose=PRIMARY', '--architecture=ppc64el', '--comp=universe', 'statsmodels_0.5.0+git13-g8e07d34-1ubuntu2.dsc'] Initiating build PACKAGEBUILD-5955561 with 8 jobs across 8 processor cores. Kernel reported to sbuild: 3.13.0-16-generic #36-Ubuntu SMP Tue Mar 4 23:03:28 UTC 2014 ppc64le Automatic build of statsmodels_0.5.0+git13-g8e07d34-1ubuntu2 on denneed04 by sbuild/ppc64el 1.170.5 Build started at 20140617-1757 ****************************************************************************** statsmodels_0.5.0+git13-g8e07d34-1ubuntu2.dsc exists in cwd ** Using build dependencies supplied by package: Build-Depends: debhelper (>= 7.0.50~), python-all-dev, python-setuptools, python-numpy (>= 1:1.4.0), python-scipy, python-nose, python-matplotlib, python-sphinx (>= 1.0.6), python-pandas, python-joblib, ipython-notebook (>= 0.13.1) | ipython01x, python-zmq, cython, python-patsy, python-cvxopt Checking for already installed source dependencies... debhelper: missing python-all-dev: missing python-setuptools: missing python-numpy: missing python-scipy: missing python-nose: missing python-matplotlib: missing python-sphinx: missing python-pandas: missing python-joblib: missing ipython-notebook: missing ipython01x: missing ipython01x: does not exist python-zmq: missing cython: missing python-patsy: missing python-cvxopt: missing Checking for source dependency conflicts... /usr/bin/sudo /usr/bin/apt-get --purge $CHROOT_OPTIONS -q -y install debhelper python-all-dev python-setuptools python-numpy python-scipy python-nose python-matplotlib python-sphinx python-pandas python-joblib ipython-notebook python-zmq cython python-patsy python-cvxopt 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-dejavu-core fonts-font-awesome fonts-lyx fonts-mathjax gettext gettext-base groff-base intltool-debian ipython ipython-notebook-common libamd2.3.1 libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libcairo2 libcamd2.3.1 libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libcroco3 libcups2 libdatrie1 libdsdp-5.8gf libexpat1 libexpat1-dev libfftw3-double3 libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0 libglpk36 libgraphite2-3 libgsl0ldbl libgtk2.0-0 libgtk2.0-common libharfbuzz0b libjasper1 libjbig0 libjpeg-turbo8 libjpeg8 libjs-highlight libjs-jquery libjs-jquery-ui libjs-marked libjs-mathjax libjs-sphinxdoc libjs-underscore liblapack3 libltdl7 libmagic1 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpgm-5.1-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libtcl8.6 libthai-data libthai0 libtiff5 libtk8.6 libumfpack5.6.2 libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 libzmq3 man-db mime-support po-debconf python python-all 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-pycurl python-pygments python-pyparsing python-roman python-simplegeneric python-six python-support python-tornado python-tz python2.7 python2.7-dev python2.7-minimal sgml-base shared-mime-info sphinx-common ucf x11-common xml-core Suggested packages: wamerican wordlist whois vacation dh-make apparmor-easyprof gettext-doc groff ipython-doc ipython-qtconsole python-profiler pandoc pgf cups-common libfftw3-bin libfftw3-dev libiodbc2-dev libmysqlclient-dev gsl-ref-psdoc gsl-doc-pdf gsl-doc-info gsl-ref-html librsvg2-common gvfs libjasper-runtime libjs-jquery-ui-docs fonts-stix fonts-mathjax-extras libjs-mathjax-doc ttf-baekmuk ttf-arphic-gbsn00lp ttf-arphic-bsmi00lp ttf-arphic-gkai00mp ttf-arphic-bkai00mp tcl8.6 tk8.6 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 ghostscript inkscape python-cairo python-configobj python-excelerator python-gobject python-gtk2 python-matplotlib-doc python-qt4 python-sip python-traits python-wxgtk2.8 texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage python-nose-doc gfortran python-numpy-dbg python-numpy-doc python-pandas-doc python-patsy-doc python-pexpect-doc python-distribute python-distribute-doc libcurl4-gnutls-dev python-pycurl-dbg ttf-bitstream-vera jsmath texlive-fonts-recommended python2.7-doc binfmt-support sgml-base-doc Recommended packages: curl wget lynx-cur libasprintf-dev libgettextpo-dev libglib2.0-data hicolor-icon-theme libgtk2.0-bin javascript-common libmail-sendmail-perl python-pil libpaper-utils docutils-doc python-simplejson python-glade2 python-imaging python-tables python-numexpr python-xlrd python-statsmodels python-openpyxl python-xlwt python-bs4 python-html5lib python-chardet sphinx-doc python-mysqldb The following NEW packages will be installed: bsdmainutils cython debhelper dh-apparmor docutils-common file fontconfig fontconfig-config fonts-dejavu-core fonts-font-awesome fonts-lyx fonts-mathjax gettext gettext-base groff-base intltool-debian ipython ipython-notebook ipython-notebook-common libamd2.3.1 libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libcairo2 libcamd2.3.1 libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libcroco3 libcups2 libdatrie1 libdsdp-5.8gf libexpat1 libexpat1-dev libfftw3-double3 libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0 libglpk36 libgraphite2-3 libgsl0ldbl libgtk2.0-0 libgtk2.0-common libharfbuzz0b libjasper1 libjbig0 libjpeg-turbo8 libjpeg8 libjs-highlight libjs-jquery libjs-jquery-ui libjs-marked libjs-mathjax libjs-sphinxdoc libjs-underscore liblapack3 libltdl7 libmagic1 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpgm-5.1-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libtcl8.6 libthai-data libthai0 libtiff5 libtk8.6 libumfpack5.6.2 libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 libzmq3 man-db mime-support po-debconf python python-all python-all-dev python-cvxopt python-dateutil python-decorator python-dev python-docutils python-jinja2 python-joblib 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-pycurl python-pygments python-pyparsing python-roman python-scipy python-setuptools python-simplegeneric python-six python-sphinx python-support python-tornado python-tz python-zmq python2.7 python2.7-dev python2.7-minimal sgml-base shared-mime-info sphinx-common ucf x11-common xml-core 0 upgraded, 151 newly installed, 0 to remove and 0 not upgraded. Need to get 55.2 MB of archives. After this operation, 263 MB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu/ utopic/main libexpat1 ppc64el 2.1.0-5ubuntu1 [80.3 kB] Get:2 http://ftpmaster.internal/ubuntu/ utopic/main libmagic1 ppc64el 1:5.18-1ubuntu1 [209 kB] Get:3 http://ftpmaster.internal/ubuntu/ utopic/main libasprintf0c2 ppc64el 0.18.3.2-1ubuntu1 [6488 B] Get:4 http://ftpmaster.internal/ubuntu/ utopic/main libglib2.0-0 ppc64el 2.41.0-1 [1004 kB] Get:5 http://ftpmaster.internal/ubuntu/ utopic/main libpipeline1 ppc64el 1.3.0-1 [22.8 kB] Get:6 http://ftpmaster.internal/ubuntu/ utopic/main libxau6 ppc64el 1:1.0.8-1 [7460 B] Get:7 http://ftpmaster.internal/ubuntu/ utopic/main libxdmcp6 ppc64el 1:1.1.1-1 [10.9 kB] Get:8 http://ftpmaster.internal/ubuntu/ utopic/main libxcb1 ppc64el 1.10-2ubuntu1 [35.3 kB] Get:9 http://ftpmaster.internal/ubuntu/ utopic/main libx11-data all 2:1.6.2-1ubuntu2 [111 kB] Get:10 http://ftpmaster.internal/ubuntu/ utopic/main libx11-6 ppc64el 2:1.6.2-1ubuntu2 [564 kB] Get:11 http://ftpmaster.internal/ubuntu/ utopic/main libxext6 ppc64el 2:1.3.2-1 [29.3 kB] Get:12 http://ftpmaster.internal/ubuntu/ utopic/main libxml2 ppc64el 2.9.1+dfsg1-3ubuntu7 [604 kB] Get:13 http://ftpmaster.internal/ubuntu/ utopic/main groff-base ppc64el 1.22.2-5 [1249 kB] Get:14 http://ftpmaster.internal/ubuntu/ utopic/main bsdmainutils ppc64el 9.0.5ubuntu1 [173 kB] Get:15 http://ftpmaster.internal/ubuntu/ utopic/main man-db ppc64el 2.6.7.1-1 [847 kB] Get:16 http://ftpmaster.internal/ubuntu/ utopic/main sgml-base all 1.26+nmu4ubuntu1 [12.5 kB] Get:17 http://ftpmaster.internal/ubuntu/ utopic/main libamd2.3.1 ppc64el 1:4.2.1-3ubuntu1 [24.2 kB] Get:18 http://ftpmaster.internal/ubuntu/ utopic/main libatk1.0-data all 2.12.0-1ubuntu1 [15.7 kB] Get:19 http://ftpmaster.internal/ubuntu/ utopic/main libatk1.0-0 ppc64el 2.12.0-1ubuntu1 [51.8 kB] Get:20 http://ftpmaster.internal/ubuntu/ utopic/main libavahi-common-data ppc64el 0.6.31-4ubuntu2 [21.1 kB] Get:21 http://ftpmaster.internal/ubuntu/ utopic/main libavahi-common3 ppc64el 0.6.31-4ubuntu2 [19.9 kB] Get:22 http://ftpmaster.internal/ubuntu/ utopic/main libavahi-client3 ppc64el 0.6.31-4ubuntu2 [22.6 kB] Get:23 http://ftpmaster.internal/ubuntu/ utopic/main fonts-dejavu-core all 2.34-1ubuntu1 [1024 kB] Get:24 http://ftpmaster.internal/ubuntu/ utopic/main ucf all 3.0030 [55.5 kB] Get:25 http://ftpmaster.internal/ubuntu/ utopic/main fontconfig-config all 2.11.1-0ubuntu1 [48.6 kB] Get:26 http://ftpmaster.internal/ubuntu/ utopic/main libfreetype6 ppc64el 2.5.2-1ubuntu4 [322 kB] Get:27 http://ftpmaster.internal/ubuntu/ utopic/main libfontconfig1 ppc64el 2.11.1-0ubuntu1 [139 kB] Get:28 http://ftpmaster.internal/ubuntu/ utopic/main libpixman-1-0 ppc64el 0.32.4-1ubuntu1 [144 kB] Get:29 http://ftpmaster.internal/ubuntu/ utopic/main libxcb-render0 ppc64el 1.10-2ubuntu1 [10.2 kB] Get:30 http://ftpmaster.internal/ubuntu/ utopic/main libxcb-shm0 ppc64el 1.10-2ubuntu1 [5356 B] Get:31 http://ftpmaster.internal/ubuntu/ utopic/main libxrender1 ppc64el 1:0.9.8-1 [17.2 kB] Get:32 http://ftpmaster.internal/ubuntu/ utopic/main libcairo2 ppc64el 1.13.0~20140204-0ubuntu1 [574 kB] Get:33 http://ftpmaster.internal/ubuntu/ utopic/main libcamd2.3.1 ppc64el 1:4.2.1-3ubuntu1 [23.6 kB] Get:34 http://ftpmaster.internal/ubuntu/ utopic/main libccolamd2.8.0 ppc64el 1:4.2.1-3ubuntu1 [26.4 kB] Get:35 http://ftpmaster.internal/ubuntu/ utopic/main libblas3 ppc64el 1.2.20110419-7 [141 kB] Get:36 http://ftpmaster.internal/ubuntu/ utopic/main libcolamd2.8.0 ppc64el 1:4.2.1-3ubuntu1 [18.4 kB] Get:37 http://ftpmaster.internal/ubuntu/ utopic/main libgfortran3 ppc64el 4.9.0-7ubuntu2 [213 kB] Get:38 http://ftpmaster.internal/ubuntu/ utopic/main liblapack3 ppc64el 3.5.0-2ubuntu1 [1446 kB] Get:39 http://ftpmaster.internal/ubuntu/ utopic/main libcholmod2.1.2 ppc64el 1:4.2.1-3ubuntu1 [281 kB] Get:40 http://ftpmaster.internal/ubuntu/ utopic/main libcroco3 ppc64el 0.6.8-2ubuntu1 [75.4 kB] Get:41 http://ftpmaster.internal/ubuntu/ utopic/main libcups2 ppc64el 1.7.3-1 [176 kB] Get:42 http://ftpmaster.internal/ubuntu/ utopic/main libdatrie1 ppc64el 0.2.8-1 [15.9 kB] Get:43 http://ftpmaster.internal/ubuntu/ utopic/main libfftw3-double3 ppc64el 3.3.3-7ubuntu3 [403 kB] Get:44 http://ftpmaster.internal/ubuntu/ utopic/main libjpeg-turbo8 ppc64el 1.3.0-0ubuntu2 [119 kB] Get:45 http://ftpmaster.internal/ubuntu/ utopic/main libjpeg8 ppc64el 8c-2ubuntu8 [2146 B] Get:46 http://ftpmaster.internal/ubuntu/ utopic/main libjasper1 ppc64el 1.900.1-debian1-2 [138 kB] Get:47 http://ftpmaster.internal/ubuntu/ utopic/main libjbig0 ppc64el 2.0-2ubuntu4.1 [27.6 kB] Get:48 http://ftpmaster.internal/ubuntu/ utopic/main libtiff5 ppc64el 4.0.3-8ubuntu1 [149 kB] Get:49 http://ftpmaster.internal/ubuntu/ utopic/main libgdk-pixbuf2.0-common all 2.30.7-1 [8632 B] Get:50 http://ftpmaster.internal/ubuntu/ utopic/main libgdk-pixbuf2.0-0 ppc64el 2.30.7-1 [170 kB] Get:51 http://ftpmaster.internal/ubuntu/ utopic/main libltdl7 ppc64el 2.4.2-1.7ubuntu1 [33.9 kB] Get:52 http://ftpmaster.internal/ubuntu/ utopic/universe libglpk36 ppc64el 4.54-1 [369 kB] Get:53 http://ftpmaster.internal/ubuntu/ utopic/main libgraphite2-3 ppc64el 1.2.4-1ubuntu1 [50.4 kB] Get:54 http://ftpmaster.internal/ubuntu/ utopic/main libgtk2.0-common all 2.24.23-0ubuntu1.1 [121 kB] Get:55 http://ftpmaster.internal/ubuntu/ utopic/main libthai-data all 0.1.20-3 [130 kB] Get:56 http://ftpmaster.internal/ubuntu/ utopic/main libthai0 ppc64el 0.1.20-3 [16.9 kB] Get:57 http://ftpmaster.internal/ubuntu/ utopic/main fontconfig ppc64el 2.11.1-0ubuntu1 [175 kB] Get:58 http://ftpmaster.internal/ubuntu/ utopic/main libpango-1.0-0 ppc64el 1.36.3-1ubuntu1 [150 kB] Get:59 http://ftpmaster.internal/ubuntu/ utopic/main libharfbuzz0b ppc64el 0.9.28-2 [122 kB] Get:60 http://ftpmaster.internal/ubuntu/ utopic/main libpangoft2-1.0-0 ppc64el 1.36.3-1ubuntu1 [33.2 kB] Get:61 http://ftpmaster.internal/ubuntu/ utopic/main libpangocairo-1.0-0 ppc64el 1.36.3-1ubuntu1 [20.0 kB] Get:62 http://ftpmaster.internal/ubuntu/ utopic/main libxcomposite1 ppc64el 1:0.4.4-1 [6872 B] Get:63 http://ftpmaster.internal/ubuntu/ utopic/main libxfixes3 ppc64el 1:5.0.1-1ubuntu1 [10.2 kB] Get:64 http://ftpmaster.internal/ubuntu/ utopic/main libxcursor1 ppc64el 1:1.1.14-1 [21.6 kB] Get:65 http://ftpmaster.internal/ubuntu/ utopic/main libxdamage1 ppc64el 1:1.1.4-1ubuntu1 [6762 B] Get:66 http://ftpmaster.internal/ubuntu/ utopic/main libxi6 ppc64el 2:1.7.1.901-1ubuntu1 [28.0 kB] Get:67 http://ftpmaster.internal/ubuntu/ utopic/main libxinerama1 ppc64el 2:1.1.3-1 [7160 B] Get:68 http://ftpmaster.internal/ubuntu/ utopic/main libxrandr2 ppc64el 2:1.4.2-1 [15.6 kB] Get:69 http://ftpmaster.internal/ubuntu/ utopic/main shared-mime-info ppc64el 1.2-0ubuntu3 [416 kB] Get:70 http://ftpmaster.internal/ubuntu/ utopic/main libgtk2.0-0 ppc64el 2.24.23-0ubuntu1.1 [1538 kB] Get:71 http://ftpmaster.internal/ubuntu/ utopic/universe libpgm-5.1-0 ppc64el 5.1.118-1~dfsg-0.1ubuntu4 [144 kB] Get:72 http://ftpmaster.internal/ubuntu/ utopic/main libpython2.7-minimal ppc64el 2.7.7-2 [308 kB] Get:73 http://ftpmaster.internal/ubuntu/ utopic/main mime-support all 3.55ubuntu1 [31.1 kB] Get:74 http://ftpmaster.internal/ubuntu/ utopic/main libpython2.7-stdlib ppc64el 2.7.7-2 [1776 kB] Get:75 http://ftpmaster.internal/ubuntu/ utopic/main libpython2.7 ppc64el 2.7.7-2 [929 kB] Get:76 http://ftpmaster.internal/ubuntu/ utopic/main libexpat1-dev ppc64el 2.1.0-5ubuntu1 [128 kB] Get:77 http://ftpmaster.internal/ubuntu/ utopic/main libpython2.7-dev ppc64el 2.7.7-2 [1601 kB] Get:78 http://ftpmaster.internal/ubuntu/ utopic/main libtcl8.6 ppc64el 8.6.1-4ubuntu1 [839 kB] Get:79 http://ftpmaster.internal/ubuntu/ utopic/main libxft2 ppc64el 2.3.1-2 [34.6 kB] Get:80 http://ftpmaster.internal/ubuntu/ utopic/main x11-common all 1:7.7+1ubuntu8 [49.8 kB] Get:81 http://ftpmaster.internal/ubuntu/ utopic/main libxss1 ppc64el 1:1.2.2-1 [7510 B] Get:82 http://ftpmaster.internal/ubuntu/ utopic/main libtk8.6 ppc64el 8.6.1-3ubuntu2 [681 kB] Get:83 http://ftpmaster.internal/ubuntu/ utopic/main libumfpack5.6.2 ppc64el 1:4.2.1-3ubuntu1 [215 kB] Get:84 http://ftpmaster.internal/ubuntu/ utopic/main libunistring0 ppc64el 0.9.3-5ubuntu3 [262 kB] Get:85 http://ftpmaster.internal/ubuntu/ utopic/universe libzmq3 ppc64el 4.0.4+dfsg-2 [139 kB] Get:86 http://ftpmaster.internal/ubuntu/ utopic/main python2.7-minimal ppc64el 2.7.7-2 [932 kB] Get:87 http://ftpmaster.internal/ubuntu/ utopic/main file ppc64el 1:5.18-1ubuntu1 [20.5 kB] Get:88 http://ftpmaster.internal/ubuntu/ utopic/main gettext-base ppc64el 0.18.3.2-1ubuntu1 [47.0 kB] Get:89 http://ftpmaster.internal/ubuntu/ utopic/main xml-core all 0.13+nmu2 [23.3 kB] Get:90 http://ftpmaster.internal/ubuntu/ utopic/main python2.7 ppc64el 2.7.7-2 [199 kB] Get:91 http://ftpmaster.internal/ubuntu/ utopic/main python-minimal ppc64el 2.7.6-2 [27.9 kB] Get:92 http://ftpmaster.internal/ubuntu/ utopic/main libpython-stdlib ppc64el 2.7.6-2 [7372 B] Get:93 http://ftpmaster.internal/ubuntu/ utopic/main python ppc64el 2.7.6-2 [137 kB] Get:94 http://ftpmaster.internal/ubuntu/ utopic/main cython ppc64el 0.20.1+git90-g0e6e38e-1ubuntu2 [1229 kB] Get:95 http://ftpmaster.internal/ubuntu/ utopic/main gettext ppc64el 0.18.3.2-1ubuntu1 [842 kB] Get:96 http://ftpmaster.internal/ubuntu/ utopic/main intltool-debian all 0.35.0+20060710.1 [31.6 kB] Get:97 http://ftpmaster.internal/ubuntu/ utopic/main po-debconf all 1.0.16+nmu2ubuntu1 [210 kB] Get:98 http://ftpmaster.internal/ubuntu/ utopic/main dh-apparmor all 2.8.95~2430-0ubuntu5 [11.3 kB] Get:99 http://ftpmaster.internal/ubuntu/ utopic/main debhelper all 9.20140228ubuntu6 [606 kB] Get:100 http://ftpmaster.internal/ubuntu/ utopic/main docutils-common all 0.11-3 [143 kB] Get:101 http://ftpmaster.internal/ubuntu/ utopic/universe fonts-font-awesome all 4.0.3~dfsg-2 [238 kB] Get:102 http://ftpmaster.internal/ubuntu/ utopic/universe fonts-lyx all 2.0.6-1build2 [151 kB] Get:103 http://ftpmaster.internal/ubuntu/ utopic/universe fonts-mathjax all 2.4-1 [959 kB] Get:104 http://ftpmaster.internal/ubuntu/ utopic/main python-decorator all 3.4.0-2build1 [19.2 kB] Get:105 http://ftpmaster.internal/ubuntu/ utopic/main python-pexpect all 3.2-1 [38.0 kB] Get:106 http://ftpmaster.internal/ubuntu/ utopic/main python-simplegeneric all 0.8.1-1 [11.5 kB] Get:107 http://ftpmaster.internal/ubuntu/ utopic/universe ipython all 2.1.0-1 [608 kB] Get:108 http://ftpmaster.internal/ubuntu/ utopic/universe libjs-highlight all 8.0+ds-1 [120 kB] Get:109 http://ftpmaster.internal/ubuntu/ utopic/main libjs-jquery all 1.7.2+dfsg-2ubuntu1 [78.8 kB] Get:110 http://ftpmaster.internal/ubuntu/ utopic/universe libjs-jquery-ui all 1.10.1+dfsg-1 [458 kB] Get:111 http://ftpmaster.internal/ubuntu/ utopic/universe libjs-marked all 0.3.2+dfsg-1 [12.7 kB] Get:112 http://ftpmaster.internal/ubuntu/ utopic/universe libjs-mathjax all 2.4-1 [5407 kB] Get:113 http://ftpmaster.internal/ubuntu/ utopic/main libjs-underscore all 1.4.4-2ubuntu1 [45.6 kB] Get:114 http://ftpmaster.internal/ubuntu/ utopic/universe ipython-notebook-common all 2.1.0-1 [713 kB] Get:115 http://ftpmaster.internal/ubuntu/ utopic/main python-markupsafe ppc64el 0.23-1 [15.8 kB] Get:116 http://ftpmaster.internal/ubuntu/ utopic/main python-jinja2 all 2.7.3-1 [161 kB] Get:117 http://ftpmaster.internal/ubuntu/ utopic/main python-pycurl ppc64el 7.19.3-0ubuntu3 [45.6 kB] Get:118 http://ftpmaster.internal/ubuntu/ utopic/main python-tornado ppc64el 3.2.0-1ubuntu1 [224 kB] Get:119 http://ftpmaster.internal/ubuntu/ utopic/universe python-zmq ppc64el 14.3.0-1build1 [164 kB] Get:120 http://ftpmaster.internal/ubuntu/ utopic/universe ipython-notebook all 2.1.0-1 [47.8 kB] Get:121 http://ftpmaster.internal/ubuntu/ utopic/main libgsl0ldbl ppc64el 1.16+dfsg-1ubuntu1 [802 kB] Get:122 http://ftpmaster.internal/ubuntu/ utopic/main libjs-sphinxdoc all 1.2.2+dfsg-1ubuntu2 [41.4 kB] Get:123 http://ftpmaster.internal/ubuntu/ utopic/main libpython-dev ppc64el 2.7.6-2 [7438 B] Get:124 http://ftpmaster.internal/ubuntu/ utopic/main libpython-all-dev ppc64el 2.7.6-2 [1048 B] Get:125 http://ftpmaster.internal/ubuntu/ utopic/main python-all ppc64el 2.7.6-2 [1030 B] Get:126 http://ftpmaster.internal/ubuntu/ utopic/main python2.7-dev ppc64el 2.7.7-2 [275 kB] Get:127 http://ftpmaster.internal/ubuntu/ utopic/main python-dev ppc64el 2.7.6-2 [1218 B] Get:128 http://ftpmaster.internal/ubuntu/ utopic/main python-all-dev ppc64el 2.7.6-2 [1058 B] Get:129 http://ftpmaster.internal/ubuntu/ utopic/universe libdsdp-5.8gf ppc64el 5.8-9.1 [161 kB] Get:130 http://ftpmaster.internal/ubuntu/ utopic/universe python-cvxopt ppc64el 1.1.4-1.2ubuntu1 [1284 kB] Get:131 http://ftpmaster.internal/ubuntu/ utopic/main python-dateutil all 1.5+dfsg-1ubuntu1 [48.9 kB] Get:132 http://ftpmaster.internal/ubuntu/ utopic/main python-roman all 2.0.0-1 [7758 B] Get:133 http://ftpmaster.internal/ubuntu/ utopic/main python-docutils all 0.11-3 [348 kB] Get:134 http://ftpmaster.internal/ubuntu/ utopic/universe python-joblib all 0.8.1-2 [58.8 kB] Get:135 http://ftpmaster.internal/ubuntu/ utopic/universe python-matplotlib-data all 1.3.1-1ubuntu5 [2390 kB] Get:136 http://ftpmaster.internal/ubuntu/ utopic/main python-pyparsing all 2.0.1+dfsg1-1build1 [34.3 kB] Get:137 http://ftpmaster.internal/ubuntu/ utopic/main python-tz all 2012c-1build1 [32.0 kB] Get:138 http://ftpmaster.internal/ubuntu/ utopic/main python-numpy ppc64el 1:1.8.1-1ubuntu1 [1520 kB] Get:139 http://ftpmaster.internal/ubuntu/ utopic/universe python-support all 1.0.15 [26.7 kB] Get:140 http://ftpmaster.internal/ubuntu/ utopic/universe python-matplotlib ppc64el 1.3.1-1ubuntu5 [1412 kB] Get:141 http://ftpmaster.internal/ubuntu/ utopic/main python-pkg-resources all 3.6-1ubuntu1 [62.0 kB] Get:142 http://ftpmaster.internal/ubuntu/ utopic/main python-nose all 1.3.3-1 [119 kB] Get:143 http://ftpmaster.internal/ubuntu/ utopic/universe python-pandas-lib ppc64el 0.13.1-2ubuntu2 [946 kB] Get:144 http://ftpmaster.internal/ubuntu/ utopic/main python-six all 1.7.2-1 [9762 B] Get:145 http://ftpmaster.internal/ubuntu/ utopic/universe python-pandas all 0.13.1-2ubuntu2 [1077 kB] Get:146 http://ftpmaster.internal/ubuntu/ utopic/universe python-patsy all 0.2.1-3 [142 kB] Get:147 http://ftpmaster.internal/ubuntu/ utopic/main python-pygments all 1.6+dfsg-1ubuntu1 [519 kB] Get:148 http://ftpmaster.internal/ubuntu/ utopic/main python-setuptools all 3.6-1ubuntu1 [233 kB] Get:149 http://ftpmaster.internal/ubuntu/ utopic/main sphinx-common all 1.2.2+dfsg-1ubuntu2 [392 kB] Get:150 http://ftpmaster.internal/ubuntu/ utopic/main python-sphinx all 1.2.2+dfsg-1ubuntu2 [271 kB] Get:151 http://ftpmaster.internal/ubuntu/ utopic/universe python-scipy ppc64el 0.13.3-2 [7640 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 55.2 MB in 46s (1199 kB/s) Selecting previously unselected package libexpat1:ppc64el. 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Setting up libx11-data (2:1.6.2-1ubuntu2) ... Setting up libx11-6:ppc64el (2:1.6.2-1ubuntu2) ... Setting up libxext6:ppc64el (2:1.3.2-1) ... Setting up libxml2:ppc64el (2.9.1+dfsg1-3ubuntu7) ... Setting up groff-base (1.22.2-5) ... Setting up bsdmainutils (9.0.5ubuntu1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up man-db (2.6.7.1-1) ... Not building database; man-db/auto-update is not 'true'. Setting up sgml-base (1.26+nmu4ubuntu1) ... Setting up libamd2.3.1:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libatk1.0-data (2.12.0-1ubuntu1) ... Setting up libatk1.0-0:ppc64el (2.12.0-1ubuntu1) ... Setting up libavahi-common-data:ppc64el (0.6.31-4ubuntu2) ... Setting up libavahi-common3:ppc64el (0.6.31-4ubuntu2) ... Setting up libavahi-client3:ppc64el (0.6.31-4ubuntu2) ... Setting up fonts-dejavu-core (2.34-1ubuntu1) ... Setting up ucf (3.0030) ... Setting up fontconfig-config (2.11.1-0ubuntu1) ... Setting up libfreetype6:ppc64el (2.5.2-1ubuntu4) ... Setting up libfontconfig1:ppc64el (2.11.1-0ubuntu1) ... Setting up libpixman-1-0:ppc64el (0.32.4-1ubuntu1) ... Setting up libxcb-render0:ppc64el (1.10-2ubuntu1) ... Setting up libxcb-shm0:ppc64el (1.10-2ubuntu1) ... Setting up libxrender1:ppc64el (1:0.9.8-1) ... Setting up libcairo2:ppc64el (1.13.0~20140204-0ubuntu1) ... Setting up libcamd2.3.1:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libccolamd2.8.0:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libblas3 (1.2.20110419-7) ... update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode Setting up libcolamd2.8.0:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libgfortran3:ppc64el (4.9.0-7ubuntu2) ... Setting up liblapack3 (3.5.0-2ubuntu1) ... update-alternatives: using /usr/lib/lapack/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode Setting up libcholmod2.1.2:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libcroco3:ppc64el (0.6.8-2ubuntu1) ... Setting up libcups2:ppc64el (1.7.3-1) ... Setting up libdatrie1:ppc64el (0.2.8-1) ... Setting up libfftw3-double3:ppc64el (3.3.3-7ubuntu3) ... Setting up libjpeg-turbo8:ppc64el (1.3.0-0ubuntu2) ... Setting up libjpeg8:ppc64el (8c-2ubuntu8) ... Setting up libjasper1:ppc64el (1.900.1-debian1-2) ... Setting up libjbig0:ppc64el (2.0-2ubuntu4.1) ... Setting up libtiff5:ppc64el (4.0.3-8ubuntu1) ... Setting up libgdk-pixbuf2.0-common (2.30.7-1) ... Setting up libgdk-pixbuf2.0-0:ppc64el (2.30.7-1) ... Setting up libltdl7:ppc64el (2.4.2-1.7ubuntu1) ... Setting up libglpk36:ppc64el (4.54-1) ... Setting up libgraphite2-3:ppc64el (1.2.4-1ubuntu1) ... Setting up libgtk2.0-common (2.24.23-0ubuntu1.1) ... Setting up libthai-data (0.1.20-3) ... Setting up libthai0:ppc64el (0.1.20-3) ... Setting up fontconfig (2.11.1-0ubuntu1) ... Regenerating fonts cache... done. Setting up libpango-1.0-0:ppc64el (1.36.3-1ubuntu1) ... Setting up libharfbuzz0b:ppc64el (0.9.28-2) ... Setting up libpangoft2-1.0-0:ppc64el (1.36.3-1ubuntu1) ... Setting up libpangocairo-1.0-0:ppc64el (1.36.3-1ubuntu1) ... Setting up libxcomposite1:ppc64el (1:0.4.4-1) ... Setting up libxfixes3:ppc64el (1:5.0.1-1ubuntu1) ... Setting up libxcursor1:ppc64el (1:1.1.14-1) ... Setting up libxdamage1:ppc64el (1:1.1.4-1ubuntu1) ... Setting up libxi6:ppc64el (2:1.7.1.901-1ubuntu1) ... Setting up libxinerama1:ppc64el (2:1.1.3-1) ... Setting up libxrandr2:ppc64el (2:1.4.2-1) ... Setting up shared-mime-info (1.2-0ubuntu3) ... Setting up libgtk2.0-0:ppc64el (2.24.23-0ubuntu1.1) ... Setting up libpgm-5.1-0:ppc64el (5.1.118-1~dfsg-0.1ubuntu4) ... Setting up libpython2.7-minimal:ppc64el (2.7.7-2) ... Setting up mime-support (3.55ubuntu1) ... Setting up libpython2.7-stdlib:ppc64el (2.7.7-2) ... Setting up libpython2.7:ppc64el (2.7.7-2) ... Setting up libexpat1-dev:ppc64el (2.1.0-5ubuntu1) ... Setting up libpython2.7-dev:ppc64el (2.7.7-2) ... Setting up libtcl8.6:ppc64el (8.6.1-4ubuntu1) ... Setting up libxft2:ppc64el (2.3.1-2) ... Setting up x11-common (1:7.7+1ubuntu8) ... invoke-rc.d: policy-rc.d denied execution of start. Setting up libxss1:ppc64el (1:1.2.2-1) ... Setting up libtk8.6:ppc64el (8.6.1-3ubuntu2) ... Setting up libumfpack5.6.2:ppc64el (1:4.2.1-3ubuntu1) ... Setting up libunistring0:ppc64el (0.9.3-5ubuntu3) ... Setting up libzmq3:ppc64el (4.0.4+dfsg-2) ... Setting up python2.7-minimal (2.7.7-2) ... Linking and byte-compiling packages for runtime python2.7... Setting up file (1:5.18-1ubuntu1) ... Setting up gettext-base (0.18.3.2-1ubuntu1) ... Setting up xml-core (0.13+nmu2) ... Setting up python2.7 (2.7.7-2) ... Setting up python-minimal (2.7.6-2) ... Setting up libpython-stdlib:ppc64el (2.7.6-2) ... Setting up python (2.7.6-2) ... Setting up cython (0.20.1+git90-g0e6e38e-1ubuntu2) ... Setting up gettext (0.18.3.2-1ubuntu1) ... Setting up intltool-debian (0.35.0+20060710.1) ... Setting up po-debconf (1.0.16+nmu2ubuntu1) ... Setting up dh-apparmor (2.8.95~2430-0ubuntu5) ... Setting up debhelper (9.20140228ubuntu6) ... Setting up fonts-font-awesome (4.0.3~dfsg-2) ... Setting up fonts-lyx (2.0.6-1build2) ... Setting up fonts-mathjax (2.4-1) ... Setting up python-decorator (3.4.0-2build1) ... Setting up python-pexpect (3.2-1) ... Setting up python-simplegeneric (0.8.1-1) ... Setting up ipython (2.1.0-1) ... Setting up libjs-highlight (8.0+ds-1) ... Setting up libjs-jquery (1.7.2+dfsg-2ubuntu1) ... Setting up libjs-jquery-ui (1.10.1+dfsg-1) ... Setting up libjs-marked (0.3.2+dfsg-1) ... Setting up libjs-mathjax (2.4-1) ... Setting up libjs-underscore (1.4.4-2ubuntu1) ... Setting up ipython-notebook-common (2.1.0-1) ... Setting up python-markupsafe (0.23-1) ... Setting up python-jinja2 (2.7.3-1) ... Setting up python-pycurl (7.19.3-0ubuntu3) ... Setting up python-tornado (3.2.0-1ubuntu1) ... Setting up python-zmq (14.3.0-1build1) ... Setting up ipython-notebook (2.1.0-1) ... Setting up libgsl0ldbl (1.16+dfsg-1ubuntu1) ... Setting up libjs-sphinxdoc (1.2.2+dfsg-1ubuntu2) ... Setting up libpython-dev:ppc64el (2.7.6-2) ... Setting up libpython-all-dev:ppc64el (2.7.6-2) ... Setting up python-all (2.7.6-2) ... Setting up python2.7-dev (2.7.7-2) ... Setting up python-dev (2.7.6-2) ... Setting up python-all-dev (2.7.6-2) ... Setting up libdsdp-5.8gf (5.8-9.1) ... Setting up python-cvxopt (1.1.4-1.2ubuntu1) ... Setting up python-dateutil (1.5+dfsg-1ubuntu1) ... Setting up python-roman (2.0.0-1) ... Setting up python-joblib (0.8.1-2) ... Setting up python-matplotlib-data (1.3.1-1ubuntu5) ... Setting up python-pyparsing (2.0.1+dfsg1-1build1) ... Setting up python-tz (2012c-1build1) ... Setting up python-numpy (1:1.8.1-1ubuntu1) ... Setting up python-support (1.0.15) ... Setting up python-matplotlib (1.3.1-1ubuntu5) ... Setting up python-pkg-resources (3.6-1ubuntu1) ... Setting up python-nose (1.3.3-1) ... Setting up python-pandas-lib (0.13.1-2ubuntu2) ... Setting up python-six (1.7.2-1) ... Setting up python-pandas (0.13.1-2ubuntu2) ... Setting up python-patsy (0.2.1-3) ... Setting up python-pygments (1.6+dfsg-1ubuntu1) ... Setting up python-setuptools (3.6-1ubuntu1) ... Setting up sphinx-common (1.2.2+dfsg-1ubuntu2) ... Setting up python-scipy (0.13.3-2) ... Processing triggers for sgml-base (1.26+nmu4ubuntu1) ... Setting up docutils-common (0.11-3) ... Processing triggers for sgml-base (1.26+nmu4ubuntu1) ... Setting up python-docutils (0.11-3) ... 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 (1.2.2+dfsg-1ubuntu2) ... Processing triggers for libc-bin (2.19-0ubuntu6) ... Processing triggers for python-support (1.0.15) ... Checking correctness of source dependencies... Toolchain package versions: libc6-dev_2.19-0ubuntu6 make_4.0-8 dpkg-dev_1.17.10ubuntu1 gcc-4.8_4.8.3-3ubuntu2 g++-4.8_4.8.3-3ubuntu2 binutils_2.24.51.20140617-1ubuntu1 libstdc++-4.8-dev_4.8.3-3ubuntu2 libstdc++6_4.9.0-7ubuntu2 ------------------------------------------------------------------------------ dpkg-source: warning: -sn is not a valid option for Dpkg::Source::Package::V3::Quilt gpgv: Signature made Thu Mar 13 23:37:05 2014 UTC using RSA key ID 028756FF gpgv: Can't check signature: public key not found dpkg-source: warning: failed to verify signature on ./statsmodels_0.5.0+git13-g8e07d34-1ubuntu2.dsc dpkg-source: info: extracting statsmodels in statsmodels-0.5.0+git13-g8e07d34 dpkg-source: info: unpacking statsmodels_0.5.0+git13-g8e07d34.orig.tar.gz dpkg-source: info: unpacking statsmodels_0.5.0+git13-g8e07d34-1ubuntu2.debian.tar.gz dpkg-source: info: applying relax-tests.patch dpkg-buildpackage: source package statsmodels dpkg-buildpackage: source version 0.5.0+git13-g8e07d34-1ubuntu2 dpkg-buildpackage: source distribution trusty dpkg-source --before-build statsmodels-0.5.0+git13-g8e07d34 dpkg-buildpackage: host architecture ppc64el /usr/bin/fakeroot debian/rules clean dh clean --with python2 dh_testdir debian/rules override_dh_auto_clean make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' mkdir "/build/buildd/statsmodels-0.5.0+git13-g8e07d34/build" dh_auto_clean running clean make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' debian/rules override_dh_clean make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' 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-0.5.0+git13-g8e07d34' debian/rules build-arch dh build-arch --with python2 dh_testdir -a debian/rules override_dh_auto_configure make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' 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 'apt' 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-0.5.0+git13-g8e07d34' debian/rules override_dh_auto_build make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' mkdir "/build/buildd/statsmodels-0.5.0+git13-g8e07d34/build" dh_auto_build running build running build_py creating build/lib.linux-ppc64le-2.7 creating build/lib.linux-ppc64le-2.7/statsmodels copying statsmodels/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels copying statsmodels/info.py -> build/lib.linux-ppc64le-2.7/statsmodels copying statsmodels/api.py -> build/lib.linux-ppc64le-2.7/statsmodels copying statsmodels/version.py -> build/lib.linux-ppc64le-2.7/statsmodels creating build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/elanova.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/elregress.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/aft_el.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/koul_and_mc.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/descriptive.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/emplike/originregress.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike creating build/lib.linux-ppc64le-2.7/statsmodels/regression copying statsmodels/regression/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression copying statsmodels/regression/quantile_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression copying statsmodels/regression/linear_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression copying statsmodels/regression/feasible_gls.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression creating build/lib.linux-ppc64le-2.7/statsmodels/resampling copying statsmodels/resampling/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/resampling creating build/lib.linux-ppc64le-2.7/statsmodels/genmod copying statsmodels/genmod/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod copying statsmodels/genmod/generalized_linear_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod creating build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kde.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernels.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_density.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/bandwidths.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess_old.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/_kernel_base.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric copying statsmodels/nonparametric/kdetools.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric creating build/lib.linux-ppc64le-2.7/statsmodels/discrete copying statsmodels/discrete/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete copying statsmodels/discrete/discrete_margins.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete copying statsmodels/discrete/discrete_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete creating build/lib.linux-ppc64le-2.7/statsmodels/datasets copying statsmodels/datasets/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets copying statsmodels/datasets/utils.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets copying statsmodels/datasets/template_data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets creating build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/linalg.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/numdiff.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/eval_measures.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/wrappers.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/print_version.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/catadd.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/rootfinding.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/sm_exceptions.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/parallel.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/dump2module.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/compatibility.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/grouputils.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools copying statsmodels/tools/decorators.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools creating build/lib.linux-ppc64le-2.7/statsmodels/interface copying statsmodels/interface/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/interface creating build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/l1_solvers_common.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/model.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/wrapper.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/l1_slsqp.py -> build/lib.linux-ppc64le-2.7/statsmodels/base copying statsmodels/base/l1_cvxopt.py -> build/lib.linux-ppc64le-2.7/statsmodels/base creating build/lib.linux-ppc64le-2.7/statsmodels/distributions copying statsmodels/distributions/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions copying statsmodels/distributions/empirical_distribution.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions copying statsmodels/distributions/mixture_rvs.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions creating build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/count.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/nonlinls.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/tmodel.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels copying statsmodels/miscmodels/try_mlecov.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels creating build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/summary.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/smpickle.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/summary2.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/table.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/tableformatting.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/stata_summary_examples.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/iolib/foreign.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib creating build/lib.linux-ppc64le-2.7/statsmodels/robust copying statsmodels/robust/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust copying statsmodels/robust/scale.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust copying statsmodels/robust/robust_linear_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust copying statsmodels/robust/norms.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust creating build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/counter.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/ordereddict.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/py3k.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/collections.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/np_compat.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp copying statsmodels/compatnp/iter_compat.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/km_class.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/descstats.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/mle.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/survival.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/formula.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/multilinear.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/rls.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/cox.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/contrast_old.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/survival2.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/infotheo.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/bspline.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/sysreg.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/gam.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/pca.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox copying statsmodels/sandbox/utils_old.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox creating build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/adfvalues.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/mlemodel.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/stattools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/varma_process.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/ar_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/arma_mle.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/tsatools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/arima_process.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/descriptivestats.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/arima_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa copying statsmodels/tsa/setup.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa creating build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/tukeyplot.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/functional.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/correlation.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/tsaplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/boxplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/plot_grids.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/factorplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/regressionplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/utils.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/gofplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/mosaicplot.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics copying statsmodels/graphics/plottools.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics creating build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/tests/check_for_rpy.py -> build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/tests/coverage_sm.py -> build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/tests/rmodelwrap.py -> build/lib.linux-ppc64le-2.7/statsmodels/tests creating build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/outliers_influence.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/anova.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/weightstats.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/gof.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/lilliefors.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/diagnostic.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/stattools.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/contrast.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/proportion.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/moment_helpers.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/sandwich_covariance.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/multicomp.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/base.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/power.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/multitest.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/descriptivestats.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/adnorm.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/inter_rater.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/tabledist.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats copying statsmodels/stats/correlation_tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats creating build/lib.linux-ppc64le-2.7/statsmodels/formula copying statsmodels/formula/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/formula copying statsmodels/formula/formulatools.py -> build/lib.linux-ppc64le-2.7/statsmodels/formula copying statsmodels/formula/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/formula creating build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_anova.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_aft.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_descriptive.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_origin.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests creating build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/el_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/results_quantile_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_cov.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_stata.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_gretl.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests copying statsmodels/regression/tests/test_quantile_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests creating build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/macro_gr_corc_stata.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/varfuncs.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/family.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/families copying statsmodels/genmod/families/links.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/families creating build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests copying statsmodels/genmod/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_glm.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests creating build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/results_glm.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/glm_test_resids.py -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kde.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_density.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_lowess.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests creating build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests copying statsmodels/discrete/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_discrete.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests creating build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_discrete.py -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel copying statsmodels/datasets/engel/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel copying statsmodels/datasets/engel/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart copying statsmodels/datasets/heart/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart copying statsmodels/datasets/heart/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper copying statsmodels/datasets/copper/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper copying statsmodels/datasets/copper/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector copying statsmodels/datasets/spector/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector copying statsmodels/datasets/spector/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair copying statsmodels/datasets/fair/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair copying statsmodels/datasets/fair/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96 creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile copying statsmodels/datasets/nile/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile copying statsmodels/datasets/nile/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98 creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/test_utils.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/data.py -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer creating build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_eval_measures.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_parallel.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_data.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_catadd.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_numdiff.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests copying statsmodels/tools/tests/test_rootfinding.py -> build/lib.linux-ppc64le-2.7/statsmodels/tools/tests creating build/lib.linux-ppc64le-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_shrink_pickle.py -> build/lib.linux-ppc64le-2.7/statsmodels/base/tests copying statsmodels/base/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_data.py -> build/lib.linux-ppc64le-2.7/statsmodels/base/tests copying statsmodels/base/tests/test_optimize.py -> build/lib.linux-ppc64le-2.7/statsmodels/base/tests creating build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_ecdf.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_mixture.py -> build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests creating build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_tmodel.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_poisson.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_generic_mle.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/results_tmodel.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_tarma.py -> build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests creating build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table_econpy.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary_old.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_foreign.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_pickle.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests creating build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/macrodata.py -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/test_rlm.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust/tests copying statsmodels/robust/tests/test_scale.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust/tests creating build/lib.linux-ppc64le-2.7/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/results_rlm.py -> build/lib.linux-ppc64le-2.7/statsmodels/robust/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/test_itercompat.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests copying statsmodels/compatnp/tests/test_collections.py -> build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/sympy_diff.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_ols_anova.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/treewalkerclass.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_catdata.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ar_panel.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/example_kernridge.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/predstd.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_treewalker.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/runmnl.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/anova_nistcertified.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/kernridgeregress_class.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/onewaygls.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/gmm.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/penalized.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ols_anova_original.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/dgp_examples.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/smoothers.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernels.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/testdata.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kdecovclass.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kde2.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/densityorthopoly.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernel_extras.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panel_short.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/sandwich_covariance.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/sandwich_covariance_generic.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/random_panel.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/mixed.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/correlation_structures.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panelmod.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/tools_pca.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/try_mctools.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/cross_val.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/mctools.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/quantize.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/extras.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_measures.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transform_functions.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/estimators.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/sppatch.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_max.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/multivariate.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/otherdist.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/copula.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_pot.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transformed.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/genpareto.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/gof_new.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_normal.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/garch.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/varma.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/movstat.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/example_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/fftarma.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_arma_more.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion2.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_var_convolve.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_fi.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/factormodels.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/datarich creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/tsa.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_decomp_1.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_covmat.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/model_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_gam.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_pca.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/savervs.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_formula.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/datamlw.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/maketests_mlabwrap.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/diagnostic.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/ex_newtests.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/multicomp.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_mstats_short.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/runs.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_dhuard.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/contrast_tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/test_random_panel.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/tests creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_fitfr.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_transf2.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/matchdist.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_gof.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/examples creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_extras.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/distparams.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/testtransf.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/check_moments.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/_est_fit.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_multivariate.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/tests creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/tests copying statsmodels/sandbox/stats/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/dynamic.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/plotting.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/util.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/output.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/api.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/svar_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/var_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/irf.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/tsa_model.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base copying statsmodels/tsa/base/datetools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf copying statsmodels/tsa/kalmanf/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf copying statsmodels/tsa/kalmanf/kalmanfilter.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/hp_filter.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/utils.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/bk_filter.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/filtertools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters copying statsmodels/tsa/filters/cf_filter.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp copying statsmodels/tsa/interp/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp copying statsmodels/tsa/interp/denton.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_arima_process.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_arima.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_ar.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_adfuller_lag.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_tsa_tools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_stattools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_svar.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_var.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/example_svar.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_svar.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_datetools.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_base.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/test_filters.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/test_denton.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/interp/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/savedrvs.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/datamlw_tls.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_process.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/make_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_css_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_functional.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_mosaicplot.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_boxplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_regressionplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_tsaplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_correlation.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_gofplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_factorplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests creating build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/make_tbls.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/qsturng_.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng creating build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_nonparametric.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_sandwich.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_anova.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_panel_robustcov.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_moment_helpers.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_multi.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_weightstats.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_tost.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_pairwise.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_statstools.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_inter_rater.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_contrast.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_power.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_proportion.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_gof.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_groups_sw.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_corrpsd.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_descriptivestats.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_qsturng.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/tests/test_diagnostic.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests creating build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/test_qsturng.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/tests creating build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_power.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_panelrobust.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_proportion.py -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/formula/tests copying statsmodels/formula/tests/__init__.py -> build/lib.linux-ppc64le-2.7/statsmodels/formula/tests copying statsmodels/formula/tests/test_formula.py -> build/lib.linux-ppc64le-2.7/statsmodels/formula/tests 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-ppc64le-2.7/statsmodels copying statsmodels/TODO.txt -> build/lib.linux-ppc64le-2.7/statsmodels creating build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/es_misc_poisson2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_arch_canada.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_1.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_emplike_3.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_feasible_gls_het.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_feasible_gls_het_0.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle_t.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_generic_mle_tdist.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_grangercausality.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_inter_rater.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression3.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_censored2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_dgp.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_regression_sigtest.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_semilinear_dgp.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_singleindex_dgp.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_test_functional.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_kernel_test_functional_li_wang.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_lowess.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_misc_tarma.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_misc_tmodel.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_multivar_kde.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_nearest_corr.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_outliers_influence.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_pairwise.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_pandas.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_pareto_plot.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_proportion.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_regressionplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_rootfinding.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_sandwich3.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_scatter_ellipse.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_shrink_pickle.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/ex_univar_kde.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_discrete_mnl.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_enhanced_boxplots.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_functional_plots.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_kde.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_ols_minimal_comp.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/example_rpy.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/run_all.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/t_est_rlm.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_2regress.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_gof_chisquare.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_polytrend.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_power.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_power2.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/try_tukey_hsd.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/tut_ols_ancova.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples copying statsmodels/examples/tut_ols_rlm_short.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples creating build/lib.linux-ppc64le-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/demo.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/short_demo.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/l1_demo copying statsmodels/examples/l1_demo/sklearn_compare.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/l1_demo creating build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ar1cholesky.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/arma_plots.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/compare_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_arma_all.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_coint.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_var.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/ex_var_reorder.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/lagpolynomial.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/examples/tsa/try_ar.py -> build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa copying statsmodels/emplike/heartdata.csv -> build/lib.linux-ppc64le-2.7/statsmodels/emplike copying statsmodels/datasets/COPYING -> build/lib.linux-ppc64le-2.7/statsmodels/datasets copying statsmodels/datasets/README.txt -> build/lib.linux-ppc64le-2.7/statsmodels/datasets copying statsmodels/iolib/notes_table_update.txt -> build/lib.linux-ppc64le-2.7/statsmodels/iolib copying statsmodels/sandbox/rlsdata.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/bayesprior.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/dji_table.csv -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_cusum.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_formula.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_formula_factor.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_gam_results.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_kaplan_meier.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_0.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_re.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_onewaygls.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/ex_random_panel.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_crossval.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_gam.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_gam_0.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_garch.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_maxent.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_mle.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_nbin.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_pca.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_pca_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/example_sysreg.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/gspc_table.csv -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/run_all.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_multiols.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_quantile_regression.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_quantile_regression1.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples copying statsmodels/sandbox/examples/try_smoothers.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/findow_0.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/findow_1.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/sandbox/examples/thirdparty/try_interchange.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/thirdparty copying statsmodels/tests/R_ig.s -> build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/tests/R_lbw.s -> build/lib.linux-ppc64le-2.7/statsmodels/tests copying statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/results copying statsmodels/genmod/tests/results/igaussident_resids.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/inv_gaussian.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/iris.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/medparlogresids.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_cancer_glm.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_lbw_glm.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> build/lib.linux-ppc64le-2.7/statsmodels/genmod/tests/results copying statsmodels/nonparametric/tests/Xi_test_data.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/results/results_kde.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_fft.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_weights.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/tests/results copying statsmodels/discrete/tests/results/mn_logit_summary.txt -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/mnlogit_resid.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/nbinom_resids.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/phat_mnlogit.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/poisson_resid.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_mnlogit.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_poisson.csv -> build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/results copying statsmodels/datasets/engel/engel.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel copying statsmodels/datasets/longley/R_gls.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/R_lm.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley copying statsmodels/datasets/longley/longley.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley copying statsmodels/datasets/heart/heart.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart copying statsmodels/datasets/elnino/elnino.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino/src copying statsmodels/datasets/elnino/src/elnino.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino/src copying statsmodels/datasets/cpunish/R_cpunish.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/cpunish.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish/src copying statsmodels/datasets/cpunish/src/cpunish.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish/src copying statsmodels/datasets/grunfeld/grunfeld.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld/src copying statsmodels/datasets/grunfeld/src/grunfeld.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld/src copying statsmodels/datasets/committee/R_committee.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee copying statsmodels/datasets/committee/committee.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee/src copying statsmodels/datasets/committee/src/committee.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee/src copying statsmodels/datasets/ccard/R_wls.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/ccard.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/ccard/src/ccard.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/ccard/src/names.txt -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard/src copying statsmodels/datasets/scotland/R_scotvote.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/scotvote.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland.readme -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_births.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_changes.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_devolution.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_econ_summary.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_economics.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_education.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_housing.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_population.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotland_population.html -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotvote.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/scotland/src/scotvote.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/src copying statsmodels/datasets/copper/copper.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper/src copying statsmodels/datasets/copper/src/copper.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper/src copying statsmodels/datasets/spector/spector.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector copying statsmodels/datasets/stackloss/R_stackloss.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/stackloss.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss copying statsmodels/datasets/fair/fair.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair/src copying statsmodels/datasets/fair/src/1978ADAT.asc -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair/src copying statsmodels/datasets/sunspots/R_sunspots.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/arima_mod.R -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/sunspots.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/sunspots/src/sunspots_monthly.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/sunspots/src/sunspots_yearly.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/src copying statsmodels/datasets/macrodata/macrodata.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/macrodata.dta -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/src copying statsmodels/datasets/macrodata/src/unemp.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/src creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/src/macrodata.xls copying statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/src/macrodata.xls copying statsmodels/datasets/strikes/strikes.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes copying statsmodels/datasets/anes96/anes96.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96 creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96/src copying statsmodels/datasets/anes96/src/anes96.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96/src copying statsmodels/datasets/statecrime/statecrime.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime copying statsmodels/datasets/randhie/randhie.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/randhie/src/randdesc.txt -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/randhie/src/randhie.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie/src copying statsmodels/datasets/nile/nile.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile copying statsmodels/datasets/star98/r_glm.s -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98 copying statsmodels/datasets/star98/star98.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98 creating build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star.bi.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star98.dat -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/star98/src/star98.names -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/src copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,csv,car,Duncan.csv.zip -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,datasets.csv.zip -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests copying statsmodels/datasets/tests/raw.github.com,vincentarelbundock,Rdatasets,master,doc,car,rst,Duncan.rst.zip -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests copying statsmodels/datasets/cancer/cancer.csv -> build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer copying statsmodels/iolib/tests/stata_dates.csv -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_data.csv -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests copying statsmodels/iolib/tests/results/data_missing.dta -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/macrodata.npy_ -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/time_series_examples.dta -> build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/results copying statsmodels/sandbox/regression/notes_runmnl.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/AtmWtAg.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/Longley.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SiRstv.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs01.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs02.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs03.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs04.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs05.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs06.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs07.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs08.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/regression/data/SmLs09.dat -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/data copying statsmodels/sandbox/tools/TODO.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools copying statsmodels/sandbox/tsa/notes_organize.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa creating build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/ex_mle_arma.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/ex_mle_garch.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/example_var.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tsa/examples/try_ld_nitime.py -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/examples copying statsmodels/sandbox/tests/GreeneEx15_1.s -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/macrodata.s -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/sysreg.s -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_bspline.py.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests copying statsmodels/sandbox/stats/notes_fdr.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats copying statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt -> build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate copying statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_forecasts.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima212_forecast.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_c.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_nc.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_c.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_nc.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma_forecasts.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_corrgram.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/y_arma_data.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_c.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_nc.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_c.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_nc.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/results copying statsmodels/tests/results/cancer_resids.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/cancerdata.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/cancerident_resids.csv -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/gaussinvlink_resids.csv.xxx -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/gaussinvlinkdata.csv.xxx -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/tests/results/glm_gaussian_log_resid.csv.xxx -> build/lib.linux-ppc64le-2.7/statsmodels/tests/results copying statsmodels/stats/libqsturng/CH.r -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/LICENSE.txt -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng copying statsmodels/stats/tests/test_data.txt -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests copying statsmodels/stats/libqsturng/tests/bootleg.dat -> build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/tests copying statsmodels/stats/tests/results/bootleg.csv -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_lsdiag_R.json -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_R.csv -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_bool_R.csv -> build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/results creating build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e1.dat -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e2.dat -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e3.dat -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e4.dat -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e5.dat -> build/lib.linux-ppc64le-2.7/statsmodels/tsa/vector_ar/data copying statsmodels/tsa/vector_ar/data/e6.dat -> build/lib.linux-ppc64le-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-ppc64le-2.7 creating build/temp.linux-ppc64le-2.7/statsmodels creating build/temp.linux-ppc64le-2.7/statsmodels/tsa creating build/temp.linux-ppc64le-2.7/statsmodels/tsa/kalmanf powerpc64le-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-ppc64le-2.7/statsmodels/tsa/kalmanf/kalman_loglike.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, 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:4, from statsmodels/tsa/kalmanf/kalman_loglike.c:352: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ powerpc64le-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-ppc64le-2.7/statsmodels/tsa/kalmanf/kalman_loglike.o -o build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/nonparametric powerpc64le-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-ppc64le-2.7/statsmodels/nonparametric/_smoothers_lowess.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, 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:4, from statsmodels/nonparametric/_smoothers_lowess.c:352: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ powerpc64le-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-ppc64le-2.7/statsmodels/nonparametric/_smoothers_lowess.o -o build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/_smoothers_lowess.so cythoning statsmodels/nonparametric/linbin.pyx to statsmodels/nonparametric/linbin.c building 'statsmodels.nonparametric.linbin' extension powerpc64le-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-ppc64le-2.7/statsmodels/nonparametric/linbin.o In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, 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:4, from statsmodels/nonparametric/linbin.c:352: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ powerpc64le-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-ppc64le-2.7/statsmodels/nonparametric/linbin.o -o build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/linbin.so : # Hardcode backend to Agg to avoid doc build and tests failures echo "backend : Agg" >| /build/buildd/statsmodels-0.5.0+git13-g8e07d34/build/matplotlibrc make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' debian/rules override_dh_auto_test make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' : # overriden since testing happens against installed version across : # all supported python versions make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' /usr/bin/fakeroot debian/rules binary-arch dh binary-arch --with python2 dh_testroot -a dh_prep -a debian/rules override_dh_auto_install make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' 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-ppc64le-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 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/heartdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/elanova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/elregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/aft_el.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/koul_and_mc.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/descriptive.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-ppc64le-2.7/statsmodels/emplike/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/test_aft.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/test_descriptive.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/tests/test_origin.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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/emplike/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests copying build/lib.linux-ppc64le-2.7/statsmodels/emplike/originregress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-ppc64le-2.7/statsmodels/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-ppc64le-2.7/statsmodels/regression/quantile_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-ppc64le-2.7/statsmodels/regression/linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression copying build/lib.linux-ppc64le-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/regression/tests copying build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/regression/tests/test_cov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/test_glsar_stata.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/regression/tests/test_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-ppc64le-2.7/statsmodels/regression/tests/test_glsar_gretl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/regression/tests copying build/lib.linux-ppc64le-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-ppc64le-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/resampling copying build/lib.linux-ppc64le-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/genmod copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/generalized_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/families/varfuncs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/families/family.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/families/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families copying build/lib.linux-ppc64le-2.7/statsmodels/genmod/families/links.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/families creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/genmod/tests/test_glm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/genmod/tests copying build/lib.linux-ppc64le-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/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/kernel_density.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/bandwidths.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/smoothers_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/linbin.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/smoothers_lowess_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/nonparametric/_kernel_base.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-ppc64le-2.7/statsmodels/nonparametric/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/nonparametric/tests/test_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/tests copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/nonparametric/_smoothers_lowess.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric copying build/lib.linux-ppc64le-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/discrete copying build/lib.linux-ppc64le-2.7/statsmodels/discrete/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-ppc64le-2.7/statsmodels/discrete/discrete_margins.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete copying build/lib.linux-ppc64le-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/discrete/tests copying build/lib.linux-ppc64le-2.7/statsmodels/discrete/tests/__init__.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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/datasets copying build/lib.linux-ppc64le-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/engel copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/engel/engel.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/engel copying build/lib.linux-ppc64le-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/longley copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley/longley.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley/R_gls.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/longley copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/longley/R_lm.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/heart copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/heart/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/heart copying build/lib.linux-ppc64le-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/elnino copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/elnino/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/elnino copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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/cpunish copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish/R_cpunish.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cpunish/cpunish.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/datasets/cpunish/src/cpunish.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cpunish/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld copying build/lib.linux-ppc64le-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/grunfeld/src copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/grunfeld/src/grunfeld.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/grunfeld/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/committee/R_committee.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/datasets/committee/committee.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/committee creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/ccard/ccard.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/ccard copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/datasets/scotland/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/scotland/scotvote.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/scotland copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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/copper copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/copper/copper.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/datasets/copper/src/copper.dat -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/copper/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/spector/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/spector copying build/lib.linux-ppc64le-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/stackloss copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss/stackloss.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/stackloss/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/stackloss copying build/lib.linux-ppc64le-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/fair copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/fair/fair.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/datasets/fair/src/1978ADAT.asc -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/fair/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/arima_mod.R -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/sunspots/R_sunspots.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/datasets/sunspots/sunspots.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/sunspots creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/macrodata/macrodata.dta -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/datasets/macrodata/macrodata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/macrodata copying build/lib.linux-ppc64le-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/strikes copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes/strikes.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/strikes/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/strikes copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/README.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/anes96/anes96.csv -> 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-ppc64le-2.7/statsmodels/datasets/anes96/src/anes96.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/anes96/src creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/statecrime/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/statecrime copying build/lib.linux-ppc64le-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/datasets/randhie copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/randhie/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/randhie copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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/nile copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile/nile.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/nile/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/nile copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/template_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/datasets/star98/star98.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/star98/r_glm.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/star98 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-ppc64le-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-ppc64le-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 copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/tests/test_utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/tests copying build/lib.linux-ppc64le-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 creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer/cancer.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer copying build/lib.linux-ppc64le-2.7/statsmodels/datasets/cancer/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/datasets/cancer creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/linalg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/eval_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/wrappers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/print_version.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/sm_exceptions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/dump2module.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/compatibility.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-ppc64le-2.7/statsmodels/tools/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tools/tests/test_parallel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tests/test_catadd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tests/test_numdiff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tests/test_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/tests/test_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tools/grouputils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools copying build/lib.linux-ppc64le-2.7/statsmodels/tools/decorators.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tools creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/interface copying build/lib.linux-ppc64le-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/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/l1_solvers_common.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/wrapper.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-2.7/statsmodels/base/l1_slsqp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base copying build/lib.linux-ppc64le-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/base/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/base/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-ppc64le-2.7/statsmodels/base/tests/test_data.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests copying build/lib.linux-ppc64le-2.7/statsmodels/base/tests/test_optimize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/base/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/distributions/empirical_distribution.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions copying build/lib.linux-ppc64le-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/distributions/tests copying build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests/test_ecdf.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests copying build/lib.linux-ppc64le-2.7/statsmodels/distributions/tests/test_mixture.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/distributions/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/count.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/nonlinls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/api.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-ppc64le-2.7/statsmodels/miscmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests/test_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests/test_poisson.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/miscmodels/tests/results_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/tests/test_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/miscmodels/try_mlecov.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/miscmodels creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/smpickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/summary2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/tableformatting.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/stata_summary_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/notes_table_update.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/foreign.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-ppc64le-2.7/statsmodels/iolib/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/iolib/tests/test_table.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/iolib/tests/stata_dates.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/iolib/tests/test_summary.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/test_foreign.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/test_data.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests copying build/lib.linux-ppc64le-2.7/statsmodels/iolib/tests/test_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/iolib/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression_sigtest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_feasible_gls_het.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_pareto_plot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_emplike_2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/try_power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_generic_mle_tdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_sandwich2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/try_gof_chisquare.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_emplike_3.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/examples/ex_emplike_1.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_shrink_pickle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tut_ols_rlm_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_arch_canada.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/try_polytrend.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/es_misc_poisson2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_enhanced_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tut_ols_ancova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_functional_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/try_tukey_hsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_singleindex_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/try_2regress.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/examples/ex_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_lowess.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_nearest_corr.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-ppc64le-2.7/statsmodels/examples/tsa/lagpolynomial.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/ex_coint.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/arma_plots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/ex_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/ex_var.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/compare_arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/try_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/examples/tsa/ar1cholesky.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples/tsa copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/examples/try_power2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_misc_tmodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_semilinear_dgp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_grangercausality.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_scatter_ellipse.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_ols_minimal_comp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_univar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_multivar_kde.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_rootfinding.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_sandwich3.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/example_discrete_mnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_generic_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_misc_tarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_generic_mle_t.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/t_est_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_kernel_regression_censored2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-2.7/statsmodels/examples/ex_pandas.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/examples copying build/lib.linux-ppc64le-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-ppc64le-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/robust copying build/lib.linux-ppc64le-2.7/statsmodels/robust/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-ppc64le-2.7/statsmodels/robust/scale.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-ppc64le-2.7/statsmodels/robust/robust_linear_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust copying build/lib.linux-ppc64le-2.7/statsmodels/robust/norms.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-ppc64le-2.7/statsmodels/robust/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-ppc64le-2.7/statsmodels/robust/tests/test_rlm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/robust/tests copying build/lib.linux-ppc64le-2.7/statsmodels/robust/tests/test_scale.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-ppc64le-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-ppc64le-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-ppc64le-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/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/counter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/ordereddict.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/py3k.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/np_compat.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-ppc64le-2.7/statsmodels/compatnp/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests/test_itercompat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/tests/test_collections.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp/tests copying build/lib.linux-ppc64le-2.7/statsmodels/compatnp/iter_compat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/compatnp creating 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-ppc64le-2.7/statsmodels/sandbox/regression/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/sympy_diff.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/try_ols_anova.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/regression/treewalkerclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/try_catdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/ar_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/example_kernridge.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/predstd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/try_treewalker.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/notes_runmnl.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/runmnl.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/anova_nistcertified.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/kernridgeregress_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/gmm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/regression/penalized.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/regression copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/km_class.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/descstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mle.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-ppc64le-2.7/statsmodels/sandbox/nonparametric/dgp_examples.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/kernels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/testdata.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/kdecovclass.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/kde2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/densityorthopoly.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/nonparametric/kernel_extras.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/nonparametric/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/panel_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/panel/random_panel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/panel/correlation_structures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/panel/panelmod.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/panel copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/survival.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/rlsdata.txt -> 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-ppc64le-2.7/statsmodels/sandbox/tools/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools/TODO.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools/tools_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools/try_mctools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools/cross_val.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tools copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tools/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/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/quantize.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/extras.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/mv_measures.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/transform_functions.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/estimators.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/distributions/sppatch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/try_max.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/multivariate.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/otherdist.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/copula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/try_pot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/transformed.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/genpareto.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/distributions/gof_new.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/distributions/mv_normal.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/distributions copying build/lib.linux-ppc64le-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/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_maxent.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/ex_onewaygls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/bayesprior.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/try_smoothers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/example_gam_0.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/ex_mixed_lls_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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/gspc_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_nbin.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/dji_table.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/ex_cusum.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/try_multiols.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/run_all.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/ex_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/examples/example_crossval.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/examples/example_sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/examples copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/multilinear.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/rls.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-ppc64le-2.7/statsmodels/sandbox/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/garch.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/varma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/movstat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/example_arma.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/tsa/diffusion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/fftarma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/tsa/diffusion2.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/tsa/notes_organize.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tsa/try_fi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/cox.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/contrast_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-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/datarich copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/datarich/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/datarich/factormodels.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/datarich copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/infotheo.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-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/archive copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/archive/tsa.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/archive/linalg_covmat.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/archive copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/sysreg.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/model_results.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/GreeneEx15_1.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/test_gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/macrodata.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/test_pca.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/savervs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/sysreg.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/tests/datamlw.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/tests/maketests_mlabwrap.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/ex_newtests.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/stats_mstats_short.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/notes_fdr.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/runs.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/stats_dhuard.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/stats copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/stats/contrast_tools.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-ppc64le-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-ppc64le-2.7/statsmodels/sandbox/gam.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-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/mcevaluate copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/mcevaluate/arma.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox/mcevaluate copying build/lib.linux-ppc64le-2.7/statsmodels/sandbox/utils_old.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/sandbox copying build/lib.linux-ppc64le-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/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/vector_ar copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/tsa/adfvalues.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/mlemodel.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/varma_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/ar_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/arma_mle.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-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/base copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/tsa_model.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/base/datetools.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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/tsa/base/tests/test_base.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/base/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf/kalmanfilter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/kalmanf/kalman_loglike.so -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/api.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-ppc64le-2.7/statsmodels/tsa/filters/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/hp_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/bk_filter.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/filters/filtertools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/filters copying build/lib.linux-ppc64le-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/filters/tests copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/tsa/arima_process.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/arima_model.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-ppc64le-2.7/statsmodels/tsa/interp/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp copying build/lib.linux-ppc64le-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/interp/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tsa/interp/tests/test_denton.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/interp/tests creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tsa/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/test_arima.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/tests/test_ar.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tsa/tests/test_tsa_tools.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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 copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/tsa/tests/test_stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tsa/setup.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa copying build/lib.linux-ppc64le-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/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tukeyplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/plot_grids.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/utils.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/mosaicplot.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-ppc64le-2.7/statsmodels/graphics/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_functional.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_mosaicplot.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_boxplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_regressionplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_tsaplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_correlation.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_gofplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/tests/test_factorplots.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics/tests copying build/lib.linux-ppc64le-2.7/statsmodels/graphics/plottools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/graphics creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tests/check_for_rpy.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tests/coverage_sm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-ppc64le-2.7/statsmodels/tests/rmodelwrap.py -> 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-ppc64le-2.7/statsmodels/tests/results/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-ppc64le-2.7/statsmodels/tests/results/cancerident_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-ppc64le-2.7/statsmodels/tests/results/cancer_resids.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tests/results/cancerdata.csv -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-ppc64le-2.7/statsmodels/tests/results/gaussinvlinkdata.csv.xxx -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests/results copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/tests/R_ig.s -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tests copying build/lib.linux-ppc64le-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/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/outliers_influence.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/lilliefors.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/stattools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/moment_helpers.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/sandwich_covariance.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/multicomp.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/base.py -> 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-ppc64le-2.7/statsmodels/stats/libqsturng/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/make_tbls.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/LICENSE.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/qsturng_.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/libqsturng copying build/lib.linux-ppc64le-2.7/statsmodels/stats/libqsturng/CH.r -> 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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/stats/power.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/api.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/multitest.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/adnorm.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/inter_rater.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tabledist.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-ppc64le-2.7/statsmodels/stats/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_nonparametric.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_sandwich.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_anova.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/stats/tests/test_multi.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_weightstats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_tost.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_data.txt -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_pairwise.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_statstools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/stats/tests/test_contrast.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_power.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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-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-ppc64le-2.7/statsmodels/stats/tests/test_proportion.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_gof.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-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-ppc64le-2.7/statsmodels/stats/tests/test_corrpsd.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_descriptivestats.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_qsturng.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/tests/test_diagnostic.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/tests copying build/lib.linux-ppc64le-2.7/statsmodels/stats/correlation_tools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats creating debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-ppc64le-2.7/statsmodels/formula/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-ppc64le-2.7/statsmodels/formula/formulatools.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula copying build/lib.linux-ppc64le-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/formula/tests copying build/lib.linux-ppc64le-2.7/statsmodels/formula/tests/__init__.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests copying build/lib.linux-ppc64le-2.7/statsmodels/formula/tests/test_formula.py -> debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/formula/tests 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/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/aft_el.py to aft_el.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/api.py to api.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/tests/__init__.py to __init__.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/test_aft.py to test_aft.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/test_origin.py to test_origin.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_regression.py to test_regression.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/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/linear_model.py to linear_model.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/regression/tests/__init__.py to __init__.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_cov.py to test_cov.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/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_regression.py to results_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/tests/test_glsar_gretl.py to test_glsar_gretl.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/__init__.py to __init__.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/genmod/__init__.py to __init__.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/genmod/families/varfuncs.py to varfuncs.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/__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/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/nonparametric/__init__.py to __init__.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/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/bandwidths.py to bandwidths.pyc byte-compiling debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/smoothers_lowess.py to smoothers_lowess.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/smoothers_lowess_old.py to smoothers_lowess_old.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/tests/__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/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/kdetools.py to kdetools.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/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/discrete/tests/__init__.py to __init__.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/tests/test_discrete.py to test_discrete.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/engel/__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/longley/__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/heart/__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/elnino/__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/cpunish/__init__.py to __init__.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/grunfeld/__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/committee/__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/ccard/__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/scotland/__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/copper/__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/spector/__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/stackloss/__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/fair/__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/sunspots/__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/macrodata/__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/utils.py to utils.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/strikes/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/anes96/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/datasets/statecrime/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/randhie/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/nile/data.py to data.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/star98/__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/tests/__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/cancer/__init__.py to __init__.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/tools/__init__.py to __init__.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/tools/numdiff.py to numdiff.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/wrappers.py to wrappers.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/data.py to data.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/rootfinding.py to rootfinding.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/parallel.py to parallel.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/dump2module.py to dump2module.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/tests/__init__.py to __init__.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_parallel.py to test_parallel.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/tests/test_catadd.py to test_catadd.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/test_tools.py to test_tools.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/grouputils.py to grouputils.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/interface/__init__.py to __init__.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/l1_solvers_common.py to l1_solvers_common.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/data.py to 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/l1_cvxopt.py to l1_cvxopt.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_data.py to test_data.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/distributions/__init__.py to __init__.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/distributions/tests/__init__.py to __init__.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/tests/test_mixture.py to test_mixture.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/count.py to count.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/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/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_poisson.py to test_poisson.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/results_tmodel.py to results_tmodel.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/iolib/summary.py to summary.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/smpickle.py to smpickle.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/table.py to table.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/api.py to api.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/tests/__init__.py to __init__.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_table.py to test_table.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/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_foreign.py to test_foreign.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/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_outliers_influence.py to ex_outliers_influence.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_feasible_gls_het.py to ex_feasible_gls_het.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/examples/ex_sandwich.py to ex_sandwich.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/try_power.py to try_power.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_sandwich2.py to ex_sandwich2.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/ex_kernel_regression_dgp.py to ex_kernel_regression_dgp.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/l1_demo/short_demo.py to short_demo.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/ex_emplike_1.py to ex_emplike_1.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/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_arch_canada.py to ex_arch_canada.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/try_polytrend.py to try_polytrend.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/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/example_functional_plots.py to example_functional_plots.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/try_tukey_hsd.py to try_tukey_hsd.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/try_2regress.py to try_2regress.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/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_proportion.py to ex_proportion.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_nearest_corr.py to ex_nearest_corr.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/arma_plots.py to arma_plots.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/tsa/ex_var.py to ex_var.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/ar1cholesky.py to ar1cholesky.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/ex_var_reorder.py to ex_var_reorder.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_misc_tmodel.py to ex_misc_tmodel.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_regression3.py to ex_kernel_regression3.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_kernel_semilinear_dgp.py to ex_kernel_semilinear_dgp.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/ex_scatter_ellipse.py to ex_scatter_ellipse.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_univar_kde.py to ex_univar_kde.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/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_rootfinding.py to ex_rootfinding.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/example_discrete_mnl.py to example_discrete_mnl.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_kernel_regression.py to ex_kernel_regression.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/ex_misc_tarma.py to ex_misc_tarma.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/t_est_rlm.py to t_est_rlm.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/ex_pandas.py to ex_pandas.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/info.py to info.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/scale.py to scale.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/robust/norms.py to norms.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/test_rlm.py to test_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/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/api.py to api.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/counter.py to counter.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/py3k.py to py3k.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/np_compat.py to np_compat.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/tests/test_collections.py to test_collections.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/sandbox/regression/__init__.py to __init__.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_ols_anova.py to try_ols_anova.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/try_catdata.py to try_catdata.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/example_kernridge.py to example_kernridge.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/try_treewalker.py to try_treewalker.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/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/kernridgeregress_class.py to kernridgeregress_class.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/gmm.py to gmm.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/ols_anova_original.py to ols_anova_original.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/km_class.py to km_class.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/mle.py to mle.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/__init__.py to __init__.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/kernels.py to kernels.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/kdecovclass.py to kdecovclass.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/densityorthopoly.py to densityorthopoly.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/tests/__init__.py to __init__.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/test_smoothers.py to test_smoothers.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/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/ex_smoothers.py to ex_smoothers.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/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/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/correlation_structures.py to correlation_structures.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/survival.py to survival.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/try_mctools.py to try_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/mctools.py to mctools.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/__init__.py to __init__.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/mv_measures.py to mv_measures.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/distributions/estimators.py to estimators.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_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/examples/ex_transf2.py to ex_transf2.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_gof.py to ex_gof.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/multivariate.py to multivariate.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/copula.py to copula.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/transformed.py to transformed.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/gof_new.py to gof_new.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/test_extras.py to test_extras.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/testtransf.py to testtransf.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/_est_fit.py to _est_fit.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/mv_normal.py to mv_normal.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/examples/example_maxent.py to example_maxent.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/example_garch.py to example_garch.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/example_gam.py to example_gam.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_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_smoothers.py to try_smoothers.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_gam_0.py to example_gam_0.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/thirdparty/findow_0.py to findow_0.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/findow_1.py to findow_1.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/example_nbin.py to example_nbin.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_pca_regression.py to example_pca_regression.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/try_multiols.py to try_multiols.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/examples/run_all.py to run_all.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/try_quantile_regression.py to try_quantile_regression.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_crossval.py to example_crossval.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/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_sysreg.py to example_sysreg.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/rls.py to rls.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/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/movstat.py to movstat.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/examples/example_var.py to example_var.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/ex_mle_arma.py to ex_mle_arma.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/fftarma.py to fftarma.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/diffusion2.py to diffusion2.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/try_fi.py to try_fi.pyc 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/contrast_old.py to contrast_old.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/datarich/__init__.py to __init__.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/infotheo.py to infotheo.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/archive/__init__.py to __init__.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/archive/linalg_decomp_1.py to linalg_decomp_1.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/sysreg.py to sysreg.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/model_results.py to model_results.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/test_pca.py to test_pca.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/tests/test_formula.py to test_formula.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/maketests_mlabwrap.py to maketests_mlabwrap.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/diagnostic.py to diagnostic.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/multicomp.py to multicomp.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/runs.py to runs.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/contrast_tools.py to contrast_tools.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/gam.py to gam.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/mcevaluate/__init__.py to __init__.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/utils_old.py to utils_old.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/vector_ar/__init__.py to __init__.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/vector_ar/plotting.py to plotting.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/output.py to output.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/svar_model.py to svar_model.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/irf.py to irf.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/test_svar.py to test_svar.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/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/__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_data.py to results_var_data.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/adfvalues.py to adfvalues.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/stattools.py to stattools.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/ar_model.py to ar_model.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/tsatools.py to tsatools.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/tsa_model.py to tsa_model.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/tests/__init__.py to __init__.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/tests/test_base.py to test_base.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/api.py to api.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/hp_filter.py to hp_filter.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/bk_filter.py to bk_filter.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/cf_filter.py to cf_filter.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/arima_process.py to arima_process.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/arima_model.py to arima_model.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/denton.py to denton.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/tests/test_arima_process.py to test_arima_process.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.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/test_adfuller_lag.py to test_adfuller_lag.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/results/results_ar.py to results_ar.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/savedrvs.py to savedrvs.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/datamlw_tls.py to datamlw_tls.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/arima112nc_css_results.py to arima112nc_css_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/arima111nc_results.py to arima111nc_results.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/arima211nc_css_results.py to arima211nc_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/arima111nc_css_results.py to arima111nc_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/arima211_css_results.py to arima211_css_results.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/results_arma.py to results_arma.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/arima111_css_results.py to arima111_css_results.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/test_stattools.py to test_stattools.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/version.py to version.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/functional.py to functional.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/correlation.py to correlation.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/boxplots.py to boxplots.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/regressionplots.py to regressionplots.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/api.py to api.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/mosaicplot.py to mosaicplot.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_functional.py to test_functional.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_boxplots.py to test_boxplots.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/tests/test_tsaplots.py to test_tsaplots.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_factorplots.py to test_factorplots.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/tests/__init__.py to __init__.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/tests/coverage_sm.py to coverage_sm.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/stats/outliers_influence.py to outliers_influence.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/anova.py to anova.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/gof.py to gof.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/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/contrast.py to contrast.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/moment_helpers.py to moment_helpers.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/multicomp.py to multicomp.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/libqsturng/__init__.py to __init__.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/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/power.py to power.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/multitest.py to multitest.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/adnorm.py to adnorm.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/tabledist.py to tabledist.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_nonparametric.py to test_nonparametric.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_anova.py to test_anova.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_moment_helpers.py to test_moment_helpers.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_weightstats.py to test_weightstats.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_pairwise.py to test_pairwise.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_inter_rater.py to test_inter_rater.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_power.py to test_power.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/__init__.py to __init__.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_proportion.py to test_proportion.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_groups_sw.py to test_groups_sw.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_descriptivestats.py to test_descriptivestats.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/test_diagnostic.py to test_diagnostic.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/formula/__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/api.py to api.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 running install_egg_info Copying statsmodels.egg-info to debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels-0.5.0.egg-info running install_scripts : # Run unittests here against installed statsmodels, ignore failures cd build/ && \ PYTHONPATH=`/bin/ls -d /build/buildd/statsmodels-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/*/` \ MPLCONFIGDIR=/build/buildd/statsmodels-0.5.0+git13-g8e07d34/build \ python2.7 /usr/bin/nosetests -s -v statsmodels /build/buildd/statsmodels-0.5.0+git13-g8e07d34/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_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 ... ok 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.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_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 /usr/lib/python2.7/dist-packages/scipy/optimize/_minimize.py:316: RuntimeWarning: Method L-BFGS-B does not use Hessian information (hess). RuntimeWarning) statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.smoke_test_resid_response ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_aic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_bic ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_bse ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_conf_int ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_dof ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_jac ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_llf ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_llnull ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_llr ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_llr_pvalue ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_loglikeobs ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_normalized_cov_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_params ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_pred_table ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_predict ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_predict_xb ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_resid_dev ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_resid_generalized ... ok statsmodels.discrete.tests.test_discrete.TestProbitBasinhopping.test_zstat ... ok 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 ... FAIL 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 ... FAIL 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 ... FAIL 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 ... FAIL 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 ... FAIL 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 ... Optimization terminated successfully. Current function value: 1.792972 Iterations: 386 Function evaluations: 588 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_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_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_nosigma.test_aic ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_bic ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_conf_int_subset ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_confidenceintervals ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_degrees ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_ess ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_fvalue ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_loglike ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_mse_model ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_mse_resid ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_mse_total ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_params ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_pvalues ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_resids ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_rsquared ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_rsquared_adj ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_scale ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_standarderrors ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_sumof_squaredresids ... ok statsmodels.regression.tests.test_regression.TestGLS_nosigma.test_wresid ... 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_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_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_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_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_params ... ok statsmodels.regression.tests.test_regression.TestOLS.test_pvalues ... 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.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_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_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_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_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_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.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_mean ... ok statsmodels.robust.tests.test_scale.TestChem.test_median ... ok statsmodels.robust.tests.test_scale.TestChem.test_stand_mad ... 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_stand_mad ... 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-0.5.0+git13-g8e07d34/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-0.5.0+git13-g8e07d34/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-0.5.0+git13-g8e07d34/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 ok statsmodels.stats.tests.test_anova.TestAnova2HC0.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova2HC1.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova2HC2.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova2HC3.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova3.test_results ... /build/buildd/statsmodels-0.5.0+git13-g8e07d34/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-0.5.0+git13-g8e07d34/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-0.5.0+git13-g8e07d34/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 ok statsmodels.stats.tests.test_anova.TestAnova3HC0.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova3HC1.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova3HC2.test_results ... ok statsmodels.stats.tests.test_anova.TestAnova3HC3.test_results ... ok 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 ... /build/buildd/statsmodels-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/stats/correlation_tools.py:82: UserWarning: maximum iteration reached warnings.warn('maximum iteration reached') 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 ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1293: UserWarning: kurtosistest only valid for n>=20 ... continuing anyway, n=15 int(n)) 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_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 ... 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.discrete.tests.test_discrete.TestProbitCG.test_conf_int ---------------------------------------------------------------------- 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-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py", line 55, in test_conf_int assert_almost_equal(self.res1.conf_int(), self.res2.conf_int, DECIMAL_4) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 454, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 644, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 4 decimals (mismatch 25.0%) x: array([[ 0.26582047, 2.98580011], [ -0.11267961, 0.21617372], [ 0.2601008 , 2.59265118], [-12.43610014, -2.46942629]]) y: array([[ 0.2658255, 2.985795 ], [ -0.1126929, 0.2161508], [ 0.2600795, 2.592585 ], [-12.43547 , -2.469166 ]]) ====================================================================== FAIL: statsmodels.discrete.tests.test_discrete.TestProbitCG.test_params ---------------------------------------------------------------------- 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-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py", line 52, in test_params assert_almost_equal(self.res1.params, self.res2.params, DECIMAL_4) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 454, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 644, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 4 decimals (mismatch 25.0%) x: array([ 1.62581029, 0.05174705, 1.42637599, -7.45276322]) y: array([ 1.62581025, 0.05172895, 1.42633237, -7.45232042]) ====================================================================== FAIL: statsmodels.discrete.tests.test_discrete.TestProbitCG.test_predict_xb ---------------------------------------------------------------------- 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-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py", line 103, in test_predict_xb self.res2.yhat, DECIMAL_4) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 454, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 644, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 4 decimals (mismatch 3.125%) x: array([-2.09316678, -1.6157363 , -0.87817619, -2.08443253, 0.13716606, -1.92324588, -2.08582691, -1.69999956, -1.2328817 , 0.42107767, -2.14194109, -0.86489083, -0.45843826, -0.85894534, -0.36822951,... y: array([-2.093086 , -1.61569178, -0.87816805, -2.08420706, 0.13722852, -1.92311108, -2.08569193, -1.69993722, -1.23289168, 0.42099541, -2.14186025, -0.86486465, -0.45841211, -0.85895526, -0.36825761,... ====================================================================== FAIL: statsmodels.discrete.tests.test_discrete.TestProbitCG.test_zstat ---------------------------------------------------------------------- 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-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/discrete/tests/test_discrete.py", line 58, in test_zstat assert_almost_equal(self.res1.tvalues, self.res2.z, DECIMAL_4) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 454, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 644, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 4 decimals (mismatch 25.0%) x: array([ 2.34305402, 0.6168243 , 2.39707197, -2.93119805]) y: array([ 2.34306269, 0.61662638, 2.39704449, -2.93113118]) ====================================================================== FAIL: statsmodels.emplike.tests.test_regression.TestRegressionPowell.test_ci_beta2 ---------------------------------------------------------------------- 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-0.5.0+git13-g8e07d34/debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/emplike/tests/test_regression.py", line 75, in test_ci_beta2 assert_almost_equal(beta2ci, self.res2.test_ci_beta2, 5) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 454, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 644, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 5 decimals (mismatch 50.0%) x: array([ 0.62044399, 2.18470602]) y: array([ 0.60120459, 2.18470794]) ---------------------------------------------------------------------- Ran 2860 tests in 454.347s FAILED (SKIP=18, failures=5) Optimization terminated successfully. Current function value: 5.327270 Iterations: 324 Function evaluations: 642 debian/rules:108: recipe for target 'python-test2.7' failed make[1]: [python-test2.7] Error 1 (ignored) dh override_dh_auto_install --with python2 make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' debian/rules override_dh_install make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' 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-0.5.0+git13-g8e07d34' debian/rules override_dh_installdocs make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' : # 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 debian/rules:131: recipe for target 'override_dh_installdocs' failed make[1]: [override_dh_installdocs] Error 1 (ignored) dh_installdocs make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' dh_installchangelogs -a debian/rules override_dh_python2 make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' : # 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 $tdir ; \ done I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/linbin.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_smoothers_lowess.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python-statsmodels/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalman_loglike.so' into 'debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf'. if [ -x /usr/bin/dh_numpy ]; then dh_numpy -ppython-statsmodels-lib; fi : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/python-statsmodels/python-scikits.statsmodels/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done dh_python2 make[1]: Leaving directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' dh_perl -a dh_link -a debian/rules override_dh_compress make[1]: Entering directory '/build/buildd/statsmodels-0.5.0+git13-g8e07d34' 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-0.5.0+git13-g8e07d34' dh_fixperms -a dh_strip -a dh_strip debug symbol extraction: not enabling -a because /CurrentlyBuilding exists dh_strip debug symbol extraction: all non-arch-all packages for this build platform ppc64el: python-statsmodels-lib dh_strip debug symbol extraction: packages to act on: python-statsmodels-lib dh_strip debug symbol extraction: ignored packages: 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:Depends} dpkg-gencontrol: warning: package python-statsmodels-lib: unused substitution variable ${python:Provides} /usr/bin/pkg_create_dbgsym: building ddeb package dpkg-deb: warning: '/build/buildd/statsmodels-0.5.0+git13-g8e07d34/debian/python-statsmodels-lib-dbgsym/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-dbgsym' in `../python-statsmodels-lib-dbgsym_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.ddeb'. dh_makeshlibs -a dh_shlibdeps -a dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/linbin.so debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalman_loglike.so debian/python-statsmodels-lib/usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_smoothers_lowess.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:Provides} dpkg-gencontrol: warning: package python-statsmodels-lib: unused substitution variable ${python:Versions} dh_md5sums -a dh_builddeb -a INFO: pkgstriptranslations version 121 pkgstriptranslations: processing python-statsmodels-lib (in debian/python-statsmodels-lib); do_strip: , oemstrip: pkgmaintainermangler: Not overriding Maintainer for domain lists.ubuntu.com pkgstripfiles: processing control file: debian/python-statsmodels-lib/DEBIAN/control, package python-statsmodels-lib, directory debian/python-statsmodels-lib pkgstripfiles: Truncating usr/share/doc/python-statsmodels-lib/changelog.Debian.gz to topmost ten records pkgstripfiles: PNG optimization for package python-statsmodels-lib took 0 s 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_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb'. dpkg-genchanges -B -mUbuntu Build Daemon >../statsmodels_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.changes dpkg-genchanges: arch-specific upload - not including arch-independent packages dpkg-genchanges: binary-only upload - not including any source code dpkg-source --after-build statsmodels-0.5.0+git13-g8e07d34 dpkg-buildpackage: binary-only upload (no source included) ****************************************************************************** Build finished at 20140617-1807 Publishing debug debs. chroot-autobuild/build/buildd/python-statsmodels-lib_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb: new debian package, version 2.0. size 50728 bytes: control archive=856 bytes. 747 bytes, 16 lines control 495 bytes, 5 lines md5sums Package: python-statsmodels-lib Source: statsmodels Version: 0.5.0+git13-g8e07d34-1ubuntu2 Architecture: ppc64el Maintainer: Ubuntu Developers Installed-Size: 449 Depends: python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.17) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) 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. Original-Maintainer: NeuroDebian Team chroot-autobuild/build/buildd/python-statsmodels-lib_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb: drwxr-xr-x root/root 0 2014-06-17 18:07 ./ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/nonparametric/ -rw-r--r-- root/root 78632 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/nonparametric/linbin.so -rw-r--r-- root/root 152000 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/nonparametric/_smoothers_lowess.so drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/tsa/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/ -rw-r--r-- root/root 166560 2014-06-17 18:07 ./usr/lib/python2.7/dist-packages/statsmodels/tsa/kalmanf/kalman_loglike.so drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/share/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/share/doc/ drwxr-xr-x root/root 0 2014-06-17 18:07 ./usr/share/doc/python-statsmodels-lib/ -rw-r--r-- root/root 6195 2013-11-28 20:19 ./usr/share/doc/python-statsmodels-lib/copyright -rw-r--r-- root/root 1581 2014-06-17 18:07 ./usr/share/doc/python-statsmodels-lib/changelog.Debian.gz statsmodels_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.changes: Format: 1.8 Date: Fri, 14 Mar 2014 00:36:32 +0100 Source: statsmodels Binary: python-statsmodels python-statsmodels-lib python-statsmodels-doc python-scikits.statsmodels Architecture: ppc64el Version: 0.5.0+git13-g8e07d34-1ubuntu2 Distribution: utopic Urgency: medium Maintainer: Ubuntu Build Daemon Changed-By: Julian Taylor 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 (0.5.0+git13-g8e07d34-1ubuntu2) trusty; urgency=medium . * relax-tests.patch: relax numeric bounds of a failing test on i386 Checksums-Sha1: 51f22671342e290d9dcb14fee0ee78af6bb8351e 50728 python-statsmodels-lib_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb Checksums-Sha256: 8649ab22d3bf2ed3c797d65687c04ad644adcc7541b7f3f03d3266b5dfa488f7 50728 python-statsmodels-lib_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb Files: ed3b94352b2826cdf0e78841ad2625d2 50728 python extra python-statsmodels-lib_0.5.0+git13-g8e07d34-1ubuntu2_ppc64el.deb Original-Maintainer: NeuroDebian Team ****************************************************************************** Built successfully ****************************************************************************** Finished at 20140617-1807 Build needed 00:08:25, 70444k disk space RUN: /usr/share/launchpad-buildd/slavebin/scan-for-processes ['scan-for-processes', 'PACKAGEBUILD-5955561'] Scanning for processes to kill in build /home/buildd/build-PACKAGEBUILD-5955561/chroot-autobuild... RUN: /usr/share/launchpad-buildd/slavebin/umount-chroot ['umount-chroot', 'PACKAGEBUILD-5955561'] Unmounting chroot for build PACKAGEBUILD-5955561... RUN: /usr/share/launchpad-buildd/slavebin/remove-build ['remove-build', 'PACKAGEBUILD-5955561'] Removing build PACKAGEBUILD-5955561