Build log for scikit-learn (0.18-5) on armhf

scikit-learn → 0.18-5 → armhf → 2017-02-07 12:35:27

sbuild (Debian sbuild) 0.71.0 (24 Aug 2016) on bm-wb-03

+==============================================================================+
| scikit-learn 0.18-5 (armhf)                  Tue, 07 Feb 2017 10:18:33 +0000 |
+==============================================================================+

Package: scikit-learn
Version: 0.18-5
Source Version: 0.18-5
Distribution: stretch-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf

I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/stretch-staging-armhf-sbuild-de1a040a-9457-46ff-9283-f2d857a4dd98' with '<<CHROOT>>'

+------------------------------------------------------------------------------+
| Update chroot                                                                |
+------------------------------------------------------------------------------+

Get:1 http://172.17.0.1/private stretch-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1/private stretch-staging/main Sources [9729 kB]
Get:3 http://172.17.0.1/private stretch-staging/main armhf Packages [11.7 MB]
Fetched 21.4 MB in 24s (882 kB/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges

+------------------------------------------------------------------------------+
| Fetch source files                                                           |
+------------------------------------------------------------------------------+


Check APT
---------

Checking available source versions...

Download source files with APT
------------------------------

Reading package lists...
NOTICE: 'scikit-learn' packaging is maintained in the 'Git' version control system at:
https://anonscm.debian.org/git/debian-science/packages/scikit-learn.git
Please use:
git clone https://anonscm.debian.org/git/debian-science/packages/scikit-learn.git
to retrieve the latest (possibly unreleased) updates to the package.
Need to get 6728 kB of source archives.
Get:1 http://172.17.0.1/private stretch-staging/main scikit-learn 0.18-5 (dsc) [2858 B]
Get:2 http://172.17.0.1/private stretch-staging/main scikit-learn 0.18-5 (tar) [5467 kB]
Get:3 http://172.17.0.1/private stretch-staging/main scikit-learn 0.18-5 (diff) [1257 kB]
Fetched 6728 kB in 0s (7721 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/scikit-learn-LCQGPq/scikit-learn-0.18' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/scikit-learn-LCQGPq' with '<<BUILDDIR>>'

+------------------------------------------------------------------------------+
| Install build-essential                                                      |
+------------------------------------------------------------------------------+


Setup apt archive
-----------------

Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive/sbuild-build-depends-core-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning:   sbuild-build-depends-core-dummy
dpkg-scanpackages: info: Wrote 1 entries to output Packages file.
gpg: keybox '/<<BUILDDIR>>/resolver-Ff4XB8/gpg/pubring.kbx' created
gpg: /<<BUILDDIR>>/resolver-Ff4XB8/gpg/trustdb.gpg: trustdb created
gpg: key 35506D9A48F77B2E: public key "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" imported
gpg: Total number processed: 1
gpg:               imported: 1
gpg: key 35506D9A48F77B2E: "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" not changed
gpg: key 35506D9A48F77B2E: secret key imported
gpg: Total number processed: 1
gpg:              unchanged: 1
gpg:       secret keys read: 1
gpg:   secret keys imported: 1
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Release [957 B]
Get:3 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Sources [349 B]
Get:5 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Packages [432 B]
Fetched 2108 B in 0s (3249 B/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...

Install core build dependencies (apt-based resolver)
----------------------------------------------------

Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
  fuse2fs gnupg-l10n kbd libfuse2 manpages netbase psmisc
Use 'apt autoremove' to remove them.
The following NEW packages will be installed:
  sbuild-build-depends-core-dummy
0 upgraded, 1 newly installed, 0 to remove and 1 not upgraded.
Need to get 776 B of archives.
After this operation, 0 B of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [776 B]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 776 B in 0s (0 B/s)
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 13274 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ...
Setting up sbuild-build-depends-core-dummy (0.invalid.0) ...
W: No sandbox user '_apt' on the system, can not drop privileges

+------------------------------------------------------------------------------+
| Check architectures                                                          |
+------------------------------------------------------------------------------+

Arch check ok (armhf included in any all)

+------------------------------------------------------------------------------+
| Install package build dependencies                                           |
+------------------------------------------------------------------------------+


Setup apt archive
-----------------

Merged Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python-pytest, python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-matplotlib, python3-joblib (>= 0.9.2), python3-pytest, libsvm-dev (>= 2.84.0), libatlas3-base
Filtered Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python-pytest, python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-matplotlib, python3-joblib (>= 0.9.2), python3-pytest, libsvm-dev (>= 2.84.0), libatlas3-base
dpkg-deb: building package 'sbuild-build-depends-scikit-learn-dummy' in '/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning:   sbuild-build-depends-core-dummy sbuild-build-depends-scikit-learn-dummy
dpkg-scanpackages: info: Wrote 2 entries to output Packages file.
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Release [963 B]
Get:3 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Sources [635 B]
Get:5 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ Packages [715 B]
Fetched 2683 B in 0s (4104 B/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...

Install scikit-learn build dependencies (apt-based resolver)
------------------------------------------------------------

Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
  fuse2fs gnupg-l10n kbd libfuse2 manpages netbase psmisc
Use 'apt autoremove' to remove them.
The following additional packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils cython cython3
  debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig
  fontconfig-config fonts-lyx gettext gettext-base gnome-icon-theme groff-base
  gtk-update-icon-cache hicolor-icon-theme intltool-debian libarchive-zip-perl
  libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3
  libavahi-common-data libavahi-common3 libblas-common libblas3 libbsd0
  libcairo2 libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libffi6
  libfile-stripnondeterminism-perl libfontconfig1 libfreetype6
  libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0
  libgnutls30 libgraphite2-3 libgssapi-krb5-2 libgtk2.0-0 libgtk2.0-common
  libharfbuzz0b libhogweed4 libicu57 libjbig0 libjpeg62-turbo libjs-jquery
  libjs-jquery-ui libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0
  liblapack3 libmagic-mgc libmagic1 libmpdec2 libnettle6 libp11-kit0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1
  libpixman-1-0 libpng16-16 libpython-all-dev libpython-dev libpython-stdlib
  libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib
  libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.5
  libpython3.5-dev libpython3.5-minimal libpython3.5-stdlib librsvg2-2
  librsvg2-common libsigsegv2 libssl1.1 libsvm-dev libsvm3 libtasn1-6
  libthai-data libthai0 libtiff5 libtimedate-perl libtool libunistring0
  libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1
  libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6
  libxinerama1 libxml2 libxrandr2 libxrender1 m4 man-db mime-support
  po-debconf python python-all python-all-dev python-cycler python-dateutil
  python-decorator python-dev python-functools32 python-joblib
  python-matplotlib python-matplotlib-data python-minimal python-nose
  python-numpy python-pkg-resources python-py python-pyparsing python-pytest
  python-scipy python-setuptools python-six python-subprocess32 python-tz
  python2.7 python2.7-dev python2.7-minimal python3 python3-all
  python3-all-dev python3-cycler python3-dateutil python3-decorator
  python3-dev python3-joblib python3-matplotlib python3-minimal python3-nose
  python3-numpy python3-pkg-resources python3-py python3-pyparsing
  python3-pytest python3-scipy python3-setuptools python3-six python3-tz
  python3.5 python3.5-dev python3.5-minimal shared-mime-info
  ttf-bitstream-vera ucf
Suggested packages:
  autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
  vacation cython-doc dh-make gettext-doc libasprintf-dev libgettextpo-dev
  groff cups-common gnutls-bin krb5-doc krb5-user gvfs libjs-jquery-ui-docs
  librsvg2-bin libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc less
  www-browser libmail-box-perl python-doc python-tk python-cycler-doc dvipng
  ffmpeg gir1.2-gtk-3.0 ghostscript inkscape ipython python-cairocffi
  python-configobj python-excelerator python-gobject python-gtk2
  python-matplotlib-doc python-qt4 python-sip python-tornado python-traits
  python-wxgtk3.0 texlive-extra-utils texlive-latex-extra ttf-staypuft
  python-coverage python-nose-doc gfortran python-numpy-dbg python-numpy-doc
  subversion python-pytest-xdist python-pyparsing-doc python-mock
  python-scipy-doc python-setuptools-doc python2.7-doc binfmt-support
  python3-doc python3-tk python3-venv ipython3 python3-cairocffi python3-gi
  python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado
  python3-numpy-dbg python3.5-venv python3.5-doc
Recommended packages:
  curl | wget | lynx-cur libglib2.0-data xdg-user-dirs libgail-common
  libgtk2.0-bin javascript-common krb5-locales libltdl-dev xml-core
  libmail-sendmail-perl python-simplejson python-glade2 python-imaging
  python-tk python3-simplejson python3-pil python3-tk
The following NEW packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils cython cython3
  debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig
  fontconfig-config fonts-lyx gettext gettext-base gnome-icon-theme groff-base
  gtk-update-icon-cache hicolor-icon-theme intltool-debian libarchive-zip-perl
  libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3
  libavahi-common-data libavahi-common3 libblas-common libblas3 libbsd0
  libcairo2 libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libffi6
  libfile-stripnondeterminism-perl libfontconfig1 libfreetype6
  libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0
  libgnutls30 libgraphite2-3 libgssapi-krb5-2 libgtk2.0-0 libgtk2.0-common
  libharfbuzz0b libhogweed4 libicu57 libjbig0 libjpeg62-turbo libjs-jquery
  libjs-jquery-ui libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0
  liblapack3 libmagic-mgc libmagic1 libmpdec2 libnettle6 libp11-kit0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1
  libpixman-1-0 libpng16-16 libpython-all-dev libpython-dev libpython-stdlib
  libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib
  libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.5
  libpython3.5-dev libpython3.5-minimal libpython3.5-stdlib librsvg2-2
  librsvg2-common libsigsegv2 libssl1.1 libsvm-dev libsvm3 libtasn1-6
  libthai-data libthai0 libtiff5 libtimedate-perl libtool libunistring0
  libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1
  libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6
  libxinerama1 libxml2 libxrandr2 libxrender1 m4 man-db mime-support
  po-debconf python python-all python-all-dev python-cycler python-dateutil
  python-decorator python-dev python-functools32 python-joblib
  python-matplotlib python-matplotlib-data python-minimal python-nose
  python-numpy python-pkg-resources python-py python-pyparsing python-pytest
  python-scipy python-setuptools python-six python-subprocess32 python-tz
  python2.7 python2.7-dev python2.7-minimal python3 python3-all
  python3-all-dev python3-cycler python3-dateutil python3-decorator
  python3-dev python3-joblib python3-matplotlib python3-minimal python3-nose
  python3-numpy python3-pkg-resources python3-py python3-pyparsing
  python3-pytest python3-scipy python3-setuptools python3-six python3-tz
  python3.5 python3.5-dev python3.5-minimal
  sbuild-build-depends-scikit-learn-dummy shared-mime-info ttf-bitstream-vera
  ucf
0 upgraded, 175 newly installed, 0 to remove and 1 not upgraded.
Need to get 163 MB/163 MB of archives.
After this operation, 435 MB of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-Ff4XB8/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [928 B]
Get:2 http://172.17.0.1/private stretch-staging/main armhf groff-base armhf 1.22.3-9 [1005 kB]
Get:3 http://172.17.0.1/private stretch-staging/main armhf libbsd0 armhf 0.8.3-1 [89.0 kB]
Get:4 http://172.17.0.1/private stretch-staging/main armhf bsdmainutils armhf 9.0.12 [178 kB]
Get:5 http://172.17.0.1/private stretch-staging/main armhf libpipeline1 armhf 1.4.1-2 [23.7 kB]
Get:6 http://172.17.0.1/private stretch-staging/main armhf man-db armhf 2.7.6.1-2 [1014 kB]
Get:7 http://172.17.0.1/private stretch-staging/main armhf libexpat1 armhf 2.2.0-2 [62.2 kB]
Get:8 http://172.17.0.1/private stretch-staging/main armhf libpng16-16 armhf 1.6.28-1 [263 kB]
Get:9 http://172.17.0.1/private stretch-staging/main armhf libfreetype6 armhf 2.6.3-3+b1 [385 kB]
Get:10 http://172.17.0.1/private stretch-staging/main armhf ucf all 3.0036 [70.2 kB]
Get:11 http://172.17.0.1/private stretch-staging/main armhf ttf-bitstream-vera all 1.10-8 [352 kB]
Get:12 http://172.17.0.1/private stretch-staging/main armhf fontconfig-config all 2.11.0-6.7 [271 kB]
Get:13 http://172.17.0.1/private stretch-staging/main armhf libfontconfig1 armhf 2.11.0-6.7 [313 kB]
Get:14 http://172.17.0.1/private stretch-staging/main armhf fontconfig armhf 2.11.0-6.7 [402 kB]
Get:15 http://172.17.0.1/private stretch-staging/main armhf libjbig0 armhf 2.1-3.1 [27.5 kB]
Get:16 http://172.17.0.1/private stretch-staging/main armhf libxau6 armhf 1:1.0.8-1 [19.9 kB]
Get:17 http://172.17.0.1/private stretch-staging/main armhf libxdmcp6 armhf 1:1.1.2-1.1 [24.9 kB]
Get:18 http://172.17.0.1/private stretch-staging/main armhf libxcb1 armhf 1.12-1 [129 kB]
Get:19 http://172.17.0.1/private stretch-staging/main armhf libx11-data all 2:1.6.4-3 [290 kB]
Get:20 http://172.17.0.1/private stretch-staging/main armhf libx11-6 armhf 2:1.6.4-3 [683 kB]
Get:21 http://172.17.0.1/private stretch-staging/main armhf libxext6 armhf 2:1.3.3-1 [48.1 kB]
Get:22 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-minimal armhf 2.7.13-2 [389 kB]
Get:23 http://172.17.0.1/private stretch-staging/main armhf python2.7-minimal armhf 2.7.13-2 [1178 kB]
Get:24 http://172.17.0.1/private stretch-staging/main armhf python-minimal armhf 2.7.13-2 [40.5 kB]
Get:25 http://172.17.0.1/private stretch-staging/main armhf mime-support all 3.60 [36.7 kB]
Get:26 http://172.17.0.1/private stretch-staging/main armhf libssl1.1 armhf 1.1.0c-2 [1101 kB]
Get:27 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-stdlib armhf 2.7.13-2 [1827 kB]
Get:28 http://172.17.0.1/private stretch-staging/main armhf python2.7 armhf 2.7.13-2 [285 kB]
Get:29 http://172.17.0.1/private stretch-staging/main armhf libpython-stdlib armhf 2.7.13-2 [20.0 kB]
Get:30 http://172.17.0.1/private stretch-staging/main armhf python armhf 2.7.13-2 [154 kB]
Get:31 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-minimal armhf 3.5.3-1 [566 kB]
Get:32 http://172.17.0.1/private stretch-staging/main armhf python3.5-minimal armhf 3.5.3-1 [1442 kB]
Get:33 http://172.17.0.1/private stretch-staging/main armhf python3-minimal armhf 3.5.3-1 [35.3 kB]
Get:34 http://172.17.0.1/private stretch-staging/main armhf libmpdec2 armhf 2.4.2-1 [67.5 kB]
Get:35 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-stdlib armhf 3.5.3-1 [2091 kB]
Get:36 http://172.17.0.1/private stretch-staging/main armhf python3.5 armhf 3.5.3-1 [229 kB]
Get:37 http://172.17.0.1/private stretch-staging/main armhf libpython3-stdlib armhf 3.5.3-1 [18.6 kB]
Get:38 http://172.17.0.1/private stretch-staging/main armhf dh-python all 2.20170125 [86.8 kB]
Get:39 http://172.17.0.1/private stretch-staging/main armhf python3 armhf 3.5.3-1 [21.6 kB]
Get:40 http://172.17.0.1/private stretch-staging/main armhf libmagic-mgc armhf 1:5.29-3 [221 kB]
Get:41 http://172.17.0.1/private stretch-staging/main armhf libmagic1 armhf 1:5.29-3 [104 kB]
Get:42 http://172.17.0.1/private stretch-staging/main armhf file armhf 1:5.29-3 [63.2 kB]
Get:43 http://172.17.0.1/private stretch-staging/main armhf gettext-base armhf 0.19.8.1-2 [116 kB]
Get:44 http://172.17.0.1/private stretch-staging/main armhf libp11-kit0 armhf 0.23.3-2 [94.4 kB]
Get:45 http://172.17.0.1/private stretch-staging/main armhf libtasn1-6 armhf 4.10-1 [45.3 kB]
Get:46 http://172.17.0.1/private stretch-staging/main armhf libgnutls30 armhf 3.5.8-1 [823 kB]
Get:47 http://172.17.0.1/private stretch-staging/main armhf libkeyutils1 armhf 1.5.9-9 [11.9 kB]
Get:48 http://172.17.0.1/private stretch-staging/main armhf libkrb5support0 armhf 1.15-1 [57.9 kB]
Get:49 http://172.17.0.1/private stretch-staging/main armhf libk5crypto3 armhf 1.15-1 [115 kB]
Get:50 http://172.17.0.1/private stretch-staging/main armhf libkrb5-3 armhf 1.15-1 [262 kB]
Get:51 http://172.17.0.1/private stretch-staging/main armhf libgssapi-krb5-2 armhf 1.15-1 [132 kB]
Get:52 http://172.17.0.1/private stretch-staging/main armhf libicu57 armhf 57.1-5 [7427 kB]
Get:53 http://172.17.0.1/private stretch-staging/main armhf libxml2 armhf 2.9.4+dfsg1-2.2 [806 kB]
Get:54 http://172.17.0.1/private stretch-staging/main armhf libsigsegv2 armhf 2.10-5 [28.4 kB]
Get:55 http://172.17.0.1/private stretch-staging/main armhf m4 armhf 1.4.18-1 [185 kB]
Get:56 http://172.17.0.1/private stretch-staging/main armhf autoconf all 2.69-10 [338 kB]
Get:57 http://172.17.0.1/private stretch-staging/main armhf autotools-dev all 20161112.1 [73.4 kB]
Get:58 http://172.17.0.1/private stretch-staging/main armhf automake all 1:1.15-6 [733 kB]
Get:59 http://172.17.0.1/private stretch-staging/main armhf autopoint all 0.19.8.1-2 [433 kB]
Get:60 http://172.17.0.1/private stretch-staging/main armhf cython armhf 0.25.2~b0-2 [1698 kB]
Get:61 http://172.17.0.1/private stretch-staging/main armhf cython3 armhf 0.25.2~b0-2 [1704 kB]
Get:62 http://172.17.0.1/private stretch-staging/main armhf libtool all 2.4.6-2 [545 kB]
Get:63 http://172.17.0.1/private stretch-staging/main armhf dh-autoreconf all 13 [15.8 kB]
Get:64 http://172.17.0.1/private stretch-staging/main armhf libarchive-zip-perl all 1.59-1 [95.5 kB]
Get:65 http://172.17.0.1/private stretch-staging/main armhf libfile-stripnondeterminism-perl all 0.029-2 [15.3 kB]
Get:66 http://172.17.0.1/private stretch-staging/main armhf libtimedate-perl all 2.3000-2 [42.2 kB]
Get:67 http://172.17.0.1/private stretch-staging/main armhf dh-strip-nondeterminism all 0.029-2 [9330 B]
Get:68 http://172.17.0.1/private stretch-staging/main armhf libglib2.0-0 armhf 2.50.2-2 [2527 kB]
Get:69 http://172.17.0.1/private stretch-staging/main armhf libcroco3 armhf 0.6.11-2 [131 kB]
Get:70 http://172.17.0.1/private stretch-staging/main armhf libunistring0 armhf 0.9.6+really0.9.3-0.1 [252 kB]
Get:71 http://172.17.0.1/private stretch-staging/main armhf gettext armhf 0.19.8.1-2 [1434 kB]
Get:72 http://172.17.0.1/private stretch-staging/main armhf intltool-debian all 0.35.0+20060710.4 [26.3 kB]
Get:73 http://172.17.0.1/private stretch-staging/main armhf po-debconf all 1.0.20 [247 kB]
Get:74 http://172.17.0.1/private stretch-staging/main armhf debhelper all 10.2.5 [961 kB]
Get:75 http://172.17.0.1/private stretch-staging/main armhf fonts-lyx all 2.2.2-1 [197 kB]
Get:76 http://172.17.0.1/private stretch-staging/main armhf hicolor-icon-theme all 0.15-1 [9550 B]
Get:77 http://172.17.0.1/private stretch-staging/main armhf libjpeg62-turbo armhf 1:1.5.1-2 [109 kB]
Get:78 http://172.17.0.1/private stretch-staging/main armhf libtiff5 armhf 4.0.7-5 [211 kB]
Get:79 http://172.17.0.1/private stretch-staging/main armhf shared-mime-info armhf 1.8-1 [727 kB]
Get:80 http://172.17.0.1/private stretch-staging/main armhf libgdk-pixbuf2.0-common all 2.36.4-1 [310 kB]
Get:81 http://172.17.0.1/private stretch-staging/main armhf libgdk-pixbuf2.0-0 armhf 2.36.4-1 [150 kB]
Get:82 http://172.17.0.1/private stretch-staging/main armhf gtk-update-icon-cache armhf 3.22.6-1+rpi1 [75.1 kB]
Get:83 http://172.17.0.1/private stretch-staging/main armhf libpixman-1-0 armhf 0.34.0-1 [451 kB]
Get:84 http://172.17.0.1/private stretch-staging/main armhf libxcb-render0 armhf 1.12-1 [104 kB]
Get:85 http://172.17.0.1/private stretch-staging/main armhf libxcb-shm0 armhf 1.12-1 [95.9 kB]
Get:86 http://172.17.0.1/private stretch-staging/main armhf libxrender1 armhf 1:0.9.10-1 [29.9 kB]
Get:87 http://172.17.0.1/private stretch-staging/main armhf libcairo2 armhf 1.14.8-1 [688 kB]
Get:88 http://172.17.0.1/private stretch-staging/main armhf libthai-data all 0.1.26-1 [166 kB]
Get:89 http://172.17.0.1/private stretch-staging/main armhf libdatrie1 armhf 0.2.10-4 [32.8 kB]
Get:90 http://172.17.0.1/private stretch-staging/main armhf libthai0 armhf 0.1.26-1 [49.3 kB]
Get:91 http://172.17.0.1/private stretch-staging/main armhf libpango-1.0-0 armhf 1.40.3-3 [300 kB]
Get:92 http://172.17.0.1/private stretch-staging/main armhf libgraphite2-3 armhf 1.3.9-3 [62.9 kB]
Get:93 http://172.17.0.1/private stretch-staging/main armhf libharfbuzz0b armhf 1.4.2-1 [640 kB]
Get:94 http://172.17.0.1/private stretch-staging/main armhf libpangoft2-1.0-0 armhf 1.40.3-3 [196 kB]
Get:95 http://172.17.0.1/private stretch-staging/main armhf libpangocairo-1.0-0 armhf 1.40.3-3 [186 kB]
Get:96 http://172.17.0.1/private stretch-staging/main armhf librsvg2-2 armhf 2.40.16-1 [266 kB]
Get:97 http://172.17.0.1/private stretch-staging/main armhf librsvg2-common armhf 2.40.16-1 [193 kB]
Get:98 http://172.17.0.1/private stretch-staging/main armhf gnome-icon-theme all 3.12.0-2 [9890 kB]
Get:99 http://172.17.0.1/private stretch-staging/main armhf libatk1.0-data all 2.22.0-1 [172 kB]
Get:100 http://172.17.0.1/private stretch-staging/main armhf libatk1.0-0 armhf 2.22.0-1 [70.4 kB]
Get:101 http://172.17.0.1/private stretch-staging/main armhf libgfortran3 armhf 6.3.0-5+rpi1 [166 kB]
Get:102 http://172.17.0.1/private stretch-staging/main armhf libblas-common armhf 3.7.0-1 [14.0 kB]
Get:103 http://172.17.0.1/private stretch-staging/main armhf libatlas3-base armhf 3.10.3-1+rpi1 [1920 kB]
Get:104 http://172.17.0.1/private stretch-staging/main armhf libavahi-common-data armhf 0.6.32-2 [118 kB]
Get:105 http://172.17.0.1/private stretch-staging/main armhf libavahi-common3 armhf 0.6.32-2 [48.6 kB]
Get:106 http://172.17.0.1/private stretch-staging/main armhf libavahi-client3 armhf 0.6.32-2 [51.3 kB]
Get:107 http://172.17.0.1/private stretch-staging/main armhf libblas3 armhf 3.7.0-1 [107 kB]
Get:108 http://172.17.0.1/private stretch-staging/main armhf libcups2 armhf 2.2.1-8 [272 kB]
Get:109 http://172.17.0.1/private stretch-staging/main armhf libexpat1-dev armhf 2.2.0-2 [116 kB]
Get:110 http://172.17.0.1/private stretch-staging/main armhf libgtk2.0-common all 2.24.31-2 [2693 kB]
Get:111 http://172.17.0.1/private stretch-staging/main armhf libxcomposite1 armhf 1:0.4.4-2 [16.1 kB]
Get:112 http://172.17.0.1/private stretch-staging/main armhf libxfixes3 armhf 1:5.0.3-1 [20.6 kB]
Get:113 http://172.17.0.1/private stretch-staging/main armhf libxcursor1 armhf 1:1.1.14-1+b1 [31.9 kB]
Get:114 http://172.17.0.1/private stretch-staging/main armhf libxdamage1 armhf 1:1.1.4-2+b1 [14.1 kB]
Get:115 http://172.17.0.1/private stretch-staging/main armhf libxi6 armhf 2:1.7.9-1 [77.8 kB]
Get:116 http://172.17.0.1/private stretch-staging/main armhf libxinerama1 armhf 2:1.1.3-1+b1 [16.4 kB]
Get:117 http://172.17.0.1/private stretch-staging/main armhf libxrandr2 armhf 2:1.5.1-1 [34.5 kB]
Get:118 http://172.17.0.1/private stretch-staging/main armhf libgtk2.0-0 armhf 2.24.31-2 [1505 kB]
Get:119 http://172.17.0.1/private stretch-staging/main armhf libjs-jquery all 3.1.1-2 [154 kB]
Get:120 http://172.17.0.1/private stretch-staging/main armhf libjs-jquery-ui all 1.12.1+dfsg-3 [232 kB]
Get:121 http://172.17.0.1/private stretch-staging/main armhf liblapack3 armhf 3.7.0-1 [1503 kB]
Get:122 http://172.17.0.1/private stretch-staging/main armhf libpython2.7 armhf 2.7.13-2 [916 kB]
Get:123 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-dev armhf 2.7.13-2 [27.6 MB]
Get:124 http://172.17.0.1/private stretch-staging/main armhf libpython-dev armhf 2.7.13-2 [20.0 kB]
Get:125 http://172.17.0.1/private stretch-staging/main armhf libpython-all-dev armhf 2.7.13-2 [958 B]
Get:126 http://172.17.0.1/private stretch-staging/main armhf libpython3.5 armhf 3.5.3-1 [1169 kB]
Get:127 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-dev armhf 3.5.3-1 [36.9 MB]
Get:128 http://172.17.0.1/private stretch-staging/main armhf libpython3-dev armhf 3.5.3-1 [18.7 kB]
Get:129 http://172.17.0.1/private stretch-staging/main armhf libpython3-all-dev armhf 3.5.3-1 [960 B]
Get:130 http://172.17.0.1/private stretch-staging/main armhf libsvm3 armhf 3.21+ds-1.1+b1 [36.6 kB]
Get:131 http://172.17.0.1/private stretch-staging/main armhf libsvm-dev armhf 3.21+ds-1.1+b1 [42.0 kB]
Get:132 http://172.17.0.1/private stretch-staging/main armhf python-all armhf 2.7.13-2 [940 B]
Get:133 http://172.17.0.1/private stretch-staging/main armhf python2.7-dev armhf 2.7.13-2 [276 kB]
Get:134 http://172.17.0.1/private stretch-staging/main armhf python-dev armhf 2.7.13-2 [1130 B]
Get:135 http://172.17.0.1/private stretch-staging/main armhf python-all-dev armhf 2.7.13-2 [962 B]
Get:136 http://172.17.0.1/private stretch-staging/main armhf python-six all 1.10.0-3 [14.4 kB]
Get:137 http://172.17.0.1/private stretch-staging/main armhf python-cycler all 0.10.0-1 [7448 B]
Get:138 http://172.17.0.1/private stretch-staging/main armhf python-dateutil all 2.5.3-2 [51.3 kB]
Get:139 http://172.17.0.1/private stretch-staging/main armhf python-decorator all 4.0.11-1 [13.3 kB]
Get:140 http://172.17.0.1/private stretch-staging/main armhf python-functools32 all 3.2.3.2-3 [11.0 kB]
Get:141 http://172.17.0.1/private stretch-staging/main armhf python-joblib all 0.10.3+git55-g660fe5d-1 [115 kB]
Get:142 http://172.17.0.1/private stretch-staging/main armhf python-matplotlib-data all 2.0.0-3 [4505 kB]
Get:143 http://172.17.0.1/private stretch-staging/main armhf python-pyparsing all 2.1.10+dfsg1-1 [88.5 kB]
Get:144 http://172.17.0.1/private stretch-staging/main armhf python-tz all 2016.7-0.2 [33.5 kB]
Get:145 http://172.17.0.1/private stretch-staging/main armhf python-numpy armhf 1:1.12.0-2 [1693 kB]
Get:146 http://172.17.0.1/private stretch-staging/main armhf python-subprocess32 armhf 3.2.7-2 [28.2 kB]
Get:147 http://172.17.0.1/private stretch-staging/main armhf python-matplotlib armhf 2.0.0~rc2-1 [3891 kB]
Get:148 http://172.17.0.1/private stretch-staging/main armhf python-pkg-resources all 33.1.1-1 [166 kB]
Get:149 http://172.17.0.1/private stretch-staging/main armhf python-nose all 1.3.7-2 [132 kB]
Get:150 http://172.17.0.1/private stretch-staging/main armhf python-py all 1.4.32-3 [82.8 kB]
Get:151 http://172.17.0.1/private stretch-staging/main armhf python-pytest all 3.0.6-1 [184 kB]
Get:152 http://172.17.0.1/private stretch-staging/main armhf python-setuptools all 33.1.1-1 [297 kB]
Get:153 http://172.17.0.1/private stretch-staging/main armhf python3-all armhf 3.5.3-1 [934 B]
Get:154 http://172.17.0.1/private stretch-staging/main armhf python3.5-dev armhf 3.5.3-1 [413 kB]
Get:155 http://172.17.0.1/private stretch-staging/main armhf python3-dev armhf 3.5.3-1 [1158 B]
Get:156 http://172.17.0.1/private stretch-staging/main armhf python3-all-dev armhf 3.5.3-1 [962 B]
Get:157 http://172.17.0.1/private stretch-staging/main armhf python3-six all 1.10.0-3 [14.4 kB]
Get:158 http://172.17.0.1/private stretch-staging/main armhf python3-cycler all 0.10.0-1 [7556 B]
Get:159 http://172.17.0.1/private stretch-staging/main armhf python3-dateutil all 2.5.3-2 [45.2 kB]
Get:160 http://172.17.0.1/private stretch-staging/main armhf python3-decorator all 4.0.11-1 [13.3 kB]
Get:161 http://172.17.0.1/private stretch-staging/main armhf python3-joblib all 0.10.3+git55-g660fe5d-1 [113 kB]
Get:162 http://172.17.0.1/private stretch-staging/main armhf python3-pyparsing all 2.1.10+dfsg1-1 [88.6 kB]
Get:163 http://172.17.0.1/private stretch-staging/main armhf python3-tz all 2016.7-0.2 [27.0 kB]
Get:164 http://172.17.0.1/private stretch-staging/main armhf python3-numpy armhf 1:1.12.0-2 [1692 kB]
Get:165 http://172.17.0.1/private stretch-staging/main armhf python3-matplotlib armhf 2.0.0~rc2-1 [3887 kB]
Get:166 http://172.17.0.1/private stretch-staging/main armhf python3-pkg-resources all 33.1.1-1 [137 kB]
Get:167 http://172.17.0.1/private stretch-staging/main armhf python3-nose all 1.3.7-2 [132 kB]
Get:168 http://172.17.0.1/private stretch-staging/main armhf python3-py all 1.4.32-3 [82.9 kB]
Get:169 http://172.17.0.1/private stretch-staging/main armhf python3-pytest all 3.0.6-1 [184 kB]
Get:170 http://172.17.0.1/private stretch-staging/main armhf python3-setuptools all 33.1.1-1 [215 kB]
Get:171 http://172.17.0.1/private stretch-staging/main armhf python-scipy armhf 0.18.1-2 [8094 kB]
Get:172 http://172.17.0.1/private stretch-staging/main armhf python3-scipy armhf 0.18.1-2 [7698 kB]
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Setting up libjs-jquery (3.1.1-2) ...
Setting up libnettle6:armhf (3.3-1) ...
Setting up libgtk2.0-common (2.24.31-2) ...
Setting up libjpeg62-turbo:armhf (1:1.5.1-2) ...
Setting up libarchive-zip-perl (1.59-1) ...
Setting up mime-support (3.60) ...
Setting up libpng16-16:armhf (1.6.28-1) ...
Setting up libtimedate-perl (2.3000-2) ...
Setting up libjbig0:armhf (2.1-3.1) ...
Setting up libsigsegv2:armhf (2.10-5) ...
Setting up libblas-common (3.7.0-1) ...
Setting up libgfortran3:armhf (6.3.0-5+rpi1) ...
Setting up groff-base (1.22.3-9) ...
Setting up libgdk-pixbuf2.0-common (2.36.4-1) ...
Setting up libdatrie1:armhf (0.2.10-4) ...
Setting up libtiff5:armhf (4.0.7-5) ...
Setting up gettext-base (0.19.8.1-2) ...
Setting up libpipeline1:armhf (1.4.1-2) ...
Setting up libsvm3 (3.21+ds-1.1+b1) ...
Setting up m4 (1.4.18-1) ...
Setting up libicu57:armhf (57.1-5) ...
Setting up libbsd0:armhf (0.8.3-1) ...
Setting up ucf (3.0036) ...
Setting up libxml2:armhf (2.9.4+dfsg1-2.2) ...
Setting up libfreetype6:armhf (2.6.3-3+b1) ...
Setting up libtasn1-6:armhf (4.10-1) ...
Setting up libmagic-mgc (1:5.29-3) ...
Setting up libmagic1:armhf (1:5.29-3) ...
Setting up libhogweed4:armhf (3.3-1) ...
Setting up libgraphite2-3:armhf (1.3.9-3) ...
Setting up libatk1.0-data (2.22.0-1) ...
Setting up libpixman-1-0:armhf (0.34.0-1) ...
Setting up libblas3 (3.7.0-1) ...
update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode
Processing triggers for libc-bin (2.24-9) ...
Setting up autotools-dev (20161112.1) ...
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Setting up libjs-jquery-ui (1.12.1+dfsg-3) ...
Setting up libexpat1-dev:armhf (2.2.0-2) ...
Setting up ttf-bitstream-vera (1.10-8) ...
Setting up libffi6:armhf (3.2.1-6) ...
Setting up libthai-data (0.1.26-1) ...
Setting up libxdmcp6:armhf (1:1.1.2-1.1) ...
Setting up libkeyutils1:armhf (1.5.9-9) ...
Setting up bsdmainutils (9.0.12) ...
update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode
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Setting up libpython2.7-stdlib:armhf (2.7.13-2) ...
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Setting up autopoint (0.19.8.1-2) ...
Setting up libmpdec2:armhf (2.4.2-1) ...
Setting up libavahi-common-data:armhf (0.6.32-2) ...
Setting up fonts-lyx (2.2.2-1) ...
Setting up libsvm-dev (3.21+ds-1.1+b1) ...
Setting up libfile-stripnondeterminism-perl (0.029-2) ...
Setting up libatlas3-base (3.10.3-1+rpi1) ...
update-alternatives: using /usr/lib/atlas-base/atlas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode
update-alternatives: using /usr/lib/atlas-base/atlas/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode
Setting up fontconfig-config (2.11.0-6.7) ...
Setting up python-matplotlib-data (2.0.0-3) ...
Setting up liblapack3 (3.7.0-1) ...
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No schema files found: doing nothing.
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update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode
Setting up man-db (2.7.6.1-2) ...
Not building database; man-db/auto-update is not 'true'.
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Setting up libtool (2.4.6-2) ...
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Setting up libk5crypto3:armhf (1.15-1) ...
Setting up python-functools32 (3.2.3.2-3) ...
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Setting up libpython3.5:armhf (3.5.3-1) ...
Setting up python-dev (2.7.13-2) ...
Setting up python-joblib (0.10.3+git55-g660fe5d-1) ...
Setting up python-tz (2016.7-0.2) ...
Setting up libgnutls30:armhf (3.5.8-1) ...
Setting up libx11-6:armhf (2:1.6.4-3) ...
Setting up libpython-all-dev:armhf (2.7.13-2) ...
Setting up python-pkg-resources (33.1.1-1) ...
Setting up libpython3.5-dev:armhf (3.5.3-1) ...
Setting up python-numpy (1:1.12.0-2) ...
Setting up cython (0.25.2~b0-2) ...
Setting up intltool-debian (0.35.0+20060710.4) ...
Setting up python-six (1.10.0-3) ...
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Setting up libavahi-client3:armhf (0.6.32-2) ...
Setting up libkrb5-3:armhf (1.15-1) ...
Setting up python-decorator (4.0.11-1) ...
Setting up python-subprocess32 (3.2.7-2) ...
Setting up python3.5-dev (3.5.3-1) ...
Setting up python-nose (1.3.7-2) ...
Setting up python-all (2.7.13-2) ...
Setting up fontconfig (2.11.0-6.7) ...
Regenerating fonts cache... done.
Setting up libpython3-dev:armhf (3.5.3-1) ...
Setting up python-setuptools (33.1.1-1) ...
Setting up libxext6:armhf (2:1.3.3-1) ...
Setting up libxfixes3:armhf (1:5.0.3-1) ...
Setting up python-scipy (0.18.1-2) ...
Setting up po-debconf (1.0.20) ...
Setting up python-py (1.4.32-3) ...
Setting up libgdk-pixbuf2.0-0:armhf (2.36.4-1) ...
Setting up python-pytest (3.0.6-1) ...
Setting up python-cycler (0.10.0-1) ...
Setting up libgssapi-krb5-2:armhf (1.15-1) ...
Setting up python-dateutil (2.5.3-2) ...
Setting up gtk-update-icon-cache (3.22.6-1+rpi1) ...
Setting up libxcursor1:armhf (1:1.1.14-1+b1) ...
Setting up python-all-dev (2.7.13-2) ...
Setting up libpython3-all-dev:armhf (3.5.3-1) ...
Setting up libpango-1.0-0:armhf (1.40.3-3) ...
Setting up libxrandr2:armhf (2:1.5.1-1) ...
Setting up libcups2:armhf (2.2.1-8) ...
Setting up libxi6:armhf (2:1.7.9-1) ...
Setting up libcairo2:armhf (1.14.8-1) ...
Setting up libxinerama1:armhf (2:1.1.3-1+b1) ...
Setting up libxdamage1:armhf (1:1.1.4-2+b1) ...
Setting up libpangoft2-1.0-0:armhf (1.40.3-3) ...
Setting up libpangocairo-1.0-0:armhf (1.40.3-3) ...
Setting up librsvg2-2:armhf (2.40.16-1) ...
Setting up librsvg2-common:armhf (2.40.16-1) ...
Setting up gnome-icon-theme (3.12.0-2) ...
update-alternatives: using /usr/share/icons/gnome/scalable/places/debian-swirl.svg to provide /usr/share/icons/gnome/scalable/places/start-here.svg (start-here.svg) in auto mode
Setting up libgtk2.0-0:armhf (2.24.31-2) ...
Setting up python-matplotlib (2.0.0~rc2-1) ...
Setting up dh-autoreconf (13) ...
Setting up python3 (3.5.3-1) ...
Setting up python3-numpy (1:1.12.0-2) ...
Setting up python3-six (1.10.0-3) ...
Setting up python3-pyparsing (2.1.10+dfsg1-1) ...
Setting up python3-cycler (0.10.0-1) ...
Setting up python3-dev (3.5.3-1) ...
Setting up python3-pkg-resources (33.1.1-1) ...
Setting up dh-strip-nondeterminism (0.029-2) ...
Setting up python3-nose (1.3.7-2) ...
Setting up python3-all (3.5.3-1) ...
Setting up cython3 (0.25.2~b0-2) ...
Setting up python3-setuptools (33.1.1-1) ...
Setting up dh-python (2.20170125) ...
Setting up python3-decorator (4.0.11-1) ...
Setting up python3-tz (2016.7-0.2) ...
Setting up python3-joblib (0.10.3+git55-g660fe5d-1) ...
Setting up python3-dateutil (2.5.3-2) ...
Setting up debhelper (10.2.5) ...
Setting up python3-scipy (0.18.1-2) ...
Setting up python3-py (1.4.32-3) ...
Setting up python3-all-dev (3.5.3-1) ...
Setting up python3-pytest (3.0.6-1) ...
Setting up python3-matplotlib (2.0.0~rc2-1) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.24-9) ...
Processing triggers for libgdk-pixbuf2.0-0:armhf (2.36.4-1) ...
W: No sandbox user '_apt' on the system, can not drop privileges

+------------------------------------------------------------------------------+
| Build environment                                                            |
+------------------------------------------------------------------------------+

Kernel: Linux 3.19.0-trunk-armmp armhf (armv7l)
Toolchain package versions: binutils_2.27.90.20170124-2 dpkg-dev_1.18.18 g++-6_6.3.0-5+rpi1 gcc-6_6.3.0-5+rpi1 libc6-dev_2.24-9 libstdc++-6-dev_6.3.0-5+rpi1 libstdc++6_6.3.0-5+rpi1 linux-libc-dev_3.18.5-1~exp1+rpi19+stretch
Package versions: adduser_3.115 apt_1.4~beta4 autoconf_2.69-10 automake_1:1.15-6 autopoint_0.19.8.1-2 autotools-dev_20161112.1 base-files_9.8+rpi1 base-passwd_3.5.43 bash_4.4-4 binutils_2.27.90.20170124-2 bsdmainutils_9.0.12 bsdutils_1:2.29.1-1 build-essential_12.3 bzip2_1.0.6-8.1 coreutils_8.26-2 cpio_2.11+dfsg-6 cpp_4:6.3.0-1 cpp-6_6.3.0-5+rpi1 cython_0.25.2~b0-2 cython3_0.25.2~b0-2 dash_0.5.8-2.4 debconf_1.5.60 debfoster_2.7-2.1 debhelper_10.2.5 debianutils_4.8.1 dh-autoreconf_13 dh-python_2.20170125 dh-strip-nondeterminism_0.029-2 diffutils_1:3.5-3 dmsetup_2:1.02.137-1 dpkg_1.18.18 dpkg-dev_1.18.18 e2fslibs_1.43.3-1 e2fsprogs_1.43.3-1 fakeroot_1.21-3.1 file_1:5.29-3 findutils_4.6.0+git+20161106-1 fontconfig_2.11.0-6.7 fontconfig-config_2.11.0-6.7 fonts-lyx_2.2.2-1 fuse2fs_1.43.3-1 g++_4:6.3.0-1 g++-6_6.3.0-5+rpi1 gcc_4:6.3.0-1 gcc-4.6-base_4.6.4-5+rpi1 gcc-4.7-base_4.7.3-11+rpi1 gcc-4.8-base_4.8.5-4 gcc-4.9-base_4.9.3-14 gcc-6_6.3.0-5+rpi1 gcc-6-base_6.3.0-5+rpi1 gettext_0.19.8.1-2 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libcap2-bin_1:2.25-1 libcc1-0_6.3.0-5+rpi1 libcomerr2_1.43.3-1 libcroco3_0.6.11-2 libcryptsetup4_2:1.7.3-3 libcups2_2.2.1-8 libdatrie1_0.2.10-4 libdb5.3_5.3.28-12 libdbus-1-3_1.10.14-1 libdebconfclient0_0.220 libdevmapper1.02.1_2:1.02.137-1 libdpkg-perl_1.18.18 libdrm2_2.4.74-1 libexpat1_2.2.0-2 libexpat1-dev_2.2.0-2 libfakeroot_1.21-3.1 libfdisk1_2.29.1-1 libffi6_3.2.1-6 libfile-stripnondeterminism-perl_0.029-2 libfontconfig1_2.11.0-6.7 libfreetype6_2.6.3-3+b1 libfuse2_2.9.7-1 libgc1c2_1:7.4.2-8 libgcc-6-dev_6.3.0-5+rpi1 libgcc1_1:6.3.0-5+rpi1 libgcrypt20_1.7.6-1 libgdbm3_1.8.3-14 libgdk-pixbuf2.0-0_2.36.4-1 libgdk-pixbuf2.0-common_2.36.4-1 libgfortran3_6.3.0-5+rpi1 libglib2.0-0_2.50.2-2 libgmp10_2:6.1.2+dfsg-1 libgnutls30_3.5.8-1 libgomp1_6.3.0-5+rpi1 libgpg-error0_1.26-2 libgraphite2-3_1.3.9-3 libgssapi-krb5-2_1.15-1 libgtk2.0-0_2.24.31-2 libgtk2.0-common_2.24.31-2 libharfbuzz0b_1.4.2-1 libhogweed4_3.3-1 libicu57_57.1-5 libidn11_1.33-1 libip4tc0_1.6.0+snapshot20161117-5 libisl15_0.18-1 libjbig0_2.1-3.1 libjpeg62-turbo_1:1.5.1-2 libjs-jquery_3.1.1-2 libjs-jquery-ui_1.12.1+dfsg-3 libk5crypto3_1.15-1 libkeyutils1_1.5.9-9 libklibc_2.0.4-9+rpi1 libkmod2_23-2 libkrb5-3_1.15-1 libkrb5support0_1.15-1 libksba8_1.3.5-2 liblapack3_3.7.0-1 liblz4-1_0.0~r131-2 liblzma5_5.2.2-1.2 libmagic-mgc_1:5.29-3 libmagic1_1:5.29-3 libmount1_2.29.1-1 libmpc3_1.0.3-1 libmpdec2_2.4.2-1 libmpfr4_3.1.5-1 libncurses5_6.0+20161126-1 libncursesw5_6.0+20161126-1 libnettle6_3.3-1 libnpth0_1.3-1 libp11-kit0_0.23.3-2 libpam-modules_1.1.8-3.5 libpam-modules-bin_1.1.8-3.5 libpam-runtime_1.1.8-3.5 libpam0g_1.1.8-3.5 libpango-1.0-0_1.40.3-3 libpangocairo-1.0-0_1.40.3-3 libpangoft2-1.0-0_1.40.3-3 libpcre3_2:8.39-2 libperl5.24_5.24.1-1 libpipeline1_1.4.1-2 libpixman-1-0_0.34.0-1 libplymouth4_0.9.2-3 libpng12-0_1.2.54-6 libpng16-16_1.6.28-1 libprocps6_2:3.3.12-3 libpython-all-dev_2.7.13-2 libpython-dev_2.7.13-2 libpython-stdlib_2.7.13-2 libpython2.7_2.7.13-2 libpython2.7-dev_2.7.13-2 libpython2.7-minimal_2.7.13-2 libpython2.7-stdlib_2.7.13-2 libpython3-all-dev_3.5.3-1 libpython3-dev_3.5.3-1 libpython3-stdlib_3.5.3-1 libpython3.5_3.5.3-1 libpython3.5-dev_3.5.3-1 libpython3.5-minimal_3.5.3-1 libpython3.5-stdlib_3.5.3-1 libreadline7_7.0-2 librsvg2-2_2.40.16-1 librsvg2-common_2.40.16-1 libseccomp2_2.3.1-2.1 libselinux1_2.6-3 libsemanage-common_2.6-2 libsemanage1_2.6-2 libsepol1_2.6-2 libsigsegv2_2.10-5 libsmartcols1_2.29.1-1 libsqlite3-0_3.16.2-2 libss2_1.43.3-1 libssl1.1_1.1.0c-2 libstdc++-6-dev_6.3.0-5+rpi1 libstdc++6_6.3.0-5+rpi1 libsvm-dev_3.21+ds-1.1+b1 libsvm3_3.21+ds-1.1+b1 libsystemd0_232-15 libtasn1-6_4.10-1 libthai-data_0.1.26-1 libthai0_0.1.26-1 libtiff5_4.0.7-5 libtimedate-perl_2.3000-2 libtinfo5_6.0+20161126-1 libtool_2.4.6-2 libubsan0_6.3.0-5+rpi1 libudev1_232-15 libunistring0_0.9.6+really0.9.3-0.1 libusb-0.1-4_2:0.1.12-30 libustr-1.0-1_1.0.4-6 libuuid1_2.29.1-1 libx11-6_2:1.6.4-3 libx11-data_2:1.6.4-3 libxau6_1:1.0.8-1 libxcb-render0_1.12-1 libxcb-shm0_1.12-1 libxcb1_1.12-1 libxcomposite1_1:0.4.4-2 libxcursor1_1:1.1.14-1+b1 libxdamage1_1:1.1.4-2+b1 libxdmcp6_1:1.1.2-1.1 libxext6_2:1.3.3-1 libxfixes3_1:5.0.3-1 libxi6_2:1.7.9-1 libxinerama1_2:1.1.3-1+b1 libxml2_2.9.4+dfsg1-2.2 libxrandr2_2:1.5.1-1 libxrender1_1:0.9.10-1 linux-libc-dev_3.18.5-1~exp1+rpi19+stretch login_1:4.4-3 lsb-base_9.20161125+rpi1 m4_1.4.18-1 make_4.1-9 makedev_2.3.1-93 man-db_2.7.6.1-2 manpages_4.09-2 mawk_1.3.3-17 mime-support_3.60 mount_2.29.1-1 multiarch-support_2.24-9 ncurses-base_6.0+20161126-1 ncurses-bin_6.0+20161126-1 netbase_5.4 passwd_1:4.4-3 patch_2.7.5-1 perl_5.24.1-1 perl-base_5.24.1-1 perl-modules-5.24_5.24.1-1 pinentry-curses_1.0.0-1 po-debconf_1.0.20 procps_2:3.3.12-3 psmisc_22.21-2.1 python_2.7.13-2 python-all_2.7.13-2 python-all-dev_2.7.13-2 python-cycler_0.10.0-1 python-dateutil_2.5.3-2 python-decorator_4.0.11-1 python-dev_2.7.13-2 python-functools32_3.2.3.2-3 python-joblib_0.10.3+git55-g660fe5d-1 python-matplotlib_2.0.0~rc2-1 python-matplotlib-data_2.0.0-3 python-minimal_2.7.13-2 python-nose_1.3.7-2 python-numpy_1:1.12.0-2 python-pkg-resources_33.1.1-1 python-py_1.4.32-3 python-pyparsing_2.1.10+dfsg1-1 python-pytest_3.0.6-1 python-scipy_0.18.1-2 python-setuptools_33.1.1-1 python-six_1.10.0-3 python-subprocess32_3.2.7-2 python-tz_2016.7-0.2 python2.7_2.7.13-2 python2.7-dev_2.7.13-2 python2.7-minimal_2.7.13-2 python3_3.5.3-1 python3-all_3.5.3-1 python3-all-dev_3.5.3-1 python3-cycler_0.10.0-1 python3-dateutil_2.5.3-2 python3-decorator_4.0.11-1 python3-dev_3.5.3-1 python3-joblib_0.10.3+git55-g660fe5d-1 python3-matplotlib_2.0.0~rc2-1 python3-minimal_3.5.3-1 python3-nose_1.3.7-2 python3-numpy_1:1.12.0-2 python3-pkg-resources_33.1.1-1 python3-py_1.4.32-3 python3-pyparsing_2.1.10+dfsg1-1 python3-pytest_3.0.6-1 python3-scipy_0.18.1-2 python3-setuptools_33.1.1-1 python3-six_1.10.0-3 python3-tz_2016.7-0.2 python3.5_3.5.3-1 python3.5-dev_3.5.3-1 python3.5-minimal_3.5.3-1 raspbian-archive-keyring_20120528.2 readline-common_7.0-2 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.3-3 sensible-utils_0.0.9 shared-mime-info_1.8-1 startpar_0.59-3.1 systemd_232-15 systemd-sysv_232-15 sysv-rc_2.88dsf-59.8 sysvinit-utils_2.88dsf-59.8 tar_1.29b-1.1 ttf-bitstream-vera_1.10-8 tzdata_2016j-2 ucf_3.0036 udev_232-15 util-linux_2.29.1-1 xz-utils_5.2.2-1.2 zlib1g_1:1.2.8.dfsg-5

+------------------------------------------------------------------------------+
| Build                                                                        |
+------------------------------------------------------------------------------+


Unpack source
-------------

gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General error
gpgv: Signature made Wed Dec 28 12:51:29 2016 UTC
gpgv:                using RSA key F1F007320A035541F0A663CA578A0494D1C646D1
gpgv:                issuer "tille@debian.org"
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.18-5.dsc
dpkg-source: info: extracting scikit-learn in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking scikit-learn_0.18.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.18-5.debian.tar.xz
dpkg-source: info: applying deb_no_joblib_compat
dpkg-source: info: applying deb_no_tinyclues_external_image
dpkg-source: info: applying deb_no_online_jquery
dpkg-source: info: applying deb_disable_google_anals
dpkg-source: info: applying up_workaround_buggy_pil
dpkg-source: info: applying deb_skip_some_tests_on_arm
dpkg-source: info: applying deb_use_system_joblib
dpkg-source: info: applying deb_no_google_analytics
dpkg-source: info: applying deb_git_revision_cmd
dpkg-source: info: applying deb_no_plot_gallery
dpkg-source: info: applying deb_optional_linkcode
dpkg-source: info: applying deb_nopaypal
dpkg-source: info: applying deb_tests_lower_precision

Check disc space
----------------

Sufficient free space for build

User Environment
----------------

APT_CONFIG=/var/lib/sbuild/apt.conf
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
LC_ALL=POSIX
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=stretch-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=stretch-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=109
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=stretch-staging-armhf-sbuild-de1a040a-9457-46ff-9283-f2d857a4dd98
SCHROOT_UID=104
SCHROOT_USER=buildd
SHELL=/bin/sh
TERM=xterm
USER=buildd

dpkg-buildpackage
-----------------

dpkg-buildpackage: info: source package scikit-learn
dpkg-buildpackage: info: source version 0.18-5
dpkg-buildpackage: info: source distribution unstable
 dpkg-source --before-build scikit-learn-0.18
dpkg-buildpackage: info: host architecture armhf
 fakeroot debian/rules clean
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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 clean --buildsystem=python_distutils --with python2,python3,autoreconf
dh: Compatibility levels before 9 are deprecated (level 7 in use)
   dh_testdir -O--buildsystem=python_distutils
   dh_auto_clean -O--buildsystem=python_distutils
dh_auto_clean: Compatibility levels before 9 are deprecated (level 7 in use)
	python setup.py clean -a
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv7l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv7l' does not exist -- can't clean it
'build/scripts-2.7' does not exist -- can't clean it
Will remove generated .c files
	find . -name \*.pyc -exec rm {} \+
   dh_autoreconf_clean -O--buildsystem=python_distutils
   debian/rules override_dh_clean
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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_clean
dh_clean: Compatibility levels before 9 are deprecated (level 7 in use)
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
 debian/rules build-arch
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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 build-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh: Compatibility levels before 9 are deprecated (level 7 in use)
   dh_testdir -a -O--buildsystem=python_distutils
   dh_update_autotools_config -a -O--buildsystem=python_distutils
   debian/rules override_dh_autoreconf
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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_autoreconf debian/rules -- clean_generated
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
make[2]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
find sklearn/ -regex '.*\.c\(\|pp\)' | xargs grep -l -e 'Generated by Cython'  | xargs -r rm -f
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
make[2]: Leaving directory '/<<PKGBUILDDIR>>'
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
   debian/rules override_dh_auto_configure
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
echo "2" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.21" && { \
	echo "I: Using pre-Cython-ed files for Python 2"; \
	touch PKG-INFO; \
	cd debian/cythonized-files$PY/ ; \
	find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
echo "3" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.21" && { \
	echo "I: Using pre-Cython-ed files for Python 3"; \
	touch PKG-INFO; \
	cd debian/cythonized-files$PY/ ; \
	find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: Compatibility levels before 9 are deprecated (level 7 in use)
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
   dh_auto_build -a -O--buildsystem=python_distutils
dh_auto_build: Compatibility levels before 9 are deprecated (level 7 in use)
	python setup.py build --force
Partial import of sklearn during the build process.
sklearn
Processing sklearn/_isotonic.pyx
Processing sklearn/__check_build/_check_build.pyx
Processing sklearn/cluster/_dbscan_inner.pyx
Processing sklearn/cluster/_hierarchical.pyx
Processing sklearn/cluster/_k_means.pyx
Processing sklearn/cluster/_k_means_elkan.pyx
Processing sklearn/datasets/_svmlight_format.pyx
Processing sklearn/decomposition/_online_lda.pyx
Processing sklearn/decomposition/cdnmf_fast.pyx
Processing sklearn/ensemble/_gradient_boosting.pyx
Processing sklearn/feature_extraction/_hashing.pyx
Processing sklearn/linear_model/cd_fast.pyx
Processing sklearn/linear_model/sag_fast.pyx
Processing sklearn/linear_model/sgd_fast.pyx
Processing sklearn/manifold/_barnes_hut_tsne.pyx
Processing sklearn/manifold/_utils.pyx
Processing sklearn/metrics/pairwise_fast.pyx
Processing sklearn/metrics/cluster/expected_mutual_info_fast.pyx
Processing sklearn/neighbors/ball_tree.pyx
Processing sklearn/neighbors/dist_metrics.pyx
Processing sklearn/neighbors/kd_tree.pyx
Processing sklearn/neighbors/typedefs.pyx
Processing sklearn/svm/liblinear.pyx
Processing sklearn/svm/libsvm.pyx
Processing sklearn/svm/libsvm_sparse.pyx
Processing sklearn/tree/_criterion.pyx
Processing sklearn/tree/_splitter.pyx
Processing sklearn/tree/_tree.pyx
Processing sklearn/tree/_utils.pyx
Processing sklearn/utils/_logistic_sigmoid.pyx
Processing sklearn/utils/_random.pyx
Processing sklearn/utils/arrayfuncs.pyx
Processing sklearn/utils/fast_dict.pyx
Processing sklearn/utils/graph_shortest_path.pyx
Processing sklearn/utils/lgamma.pyx
Processing sklearn/utils/murmurhash.pyx
Processing sklearn/utils/seq_dataset.pyx
Processing sklearn/utils/sparsefuncs_fast.pyx
Processing sklearn/utils/weight_vector.pyx
Processing sklearn/utils/sparsetools/_graph_tools.pyx
Processing sklearn/utils/sparsetools/_traversal.pyx
Generating cython files
Cythonizing sources
blas_opt_info:
blas_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

blis_info:
  libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

openblas_info:
  libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_info:
  libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Atlas (http://math-atlas.sourceforge.net/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [atlas]) or by setting
    the ATLAS environment variable.
  self.calc_info()
blas_info:
  libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  self.calc_info()
blas_src_info:
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [blas_src]) or by setting
    the BLAS_SRC environment variable.
  self.calc_info()
  NOT AVAILABLE

sklearn/setup.py:71: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  warnings.warn(BlasNotFoundError.__doc__)
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build
creating build/lib.linux-armv7l-2.7
creating build/lib.linux-armv7l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/lda.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/qda.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-2.7/sklearn
creating build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
creating build/lib.linux-armv7l-2.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/_build_utils
creating build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
creating build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
creating build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
creating build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
creating build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
creating build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
creating build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
creating build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
creating build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
creating build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/odict.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
creating build/lib.linux-armv7l-2.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals/joblib
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
creating build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
creating build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
creating build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
creating build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree
creating build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
creating build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-2.7/sklearn/svm
creating build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
creating build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
creating build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/test_traversal.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
creating build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-2.7/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7
creating build/temp.linux-armv7l-2.7/sklearn
creating build/temp.linux-armv7l-2.7/sklearn/svm
creating build/temp.linux-armv7l-2.7/sklearn/svm/src
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-2.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/src
creating build/temp.linux-armv7l-2.7/sklearn/src/cblas
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
sklearn/src/cblas/cblas_dger.c: In function 'cblas_dger':
sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
       cblas_xerbla(info, "cblas_dger", "");
       ^~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
sklearn/src/cblas/cblas_dgemv.c: In function 'cblas_dgemv':
sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
       cblas_xerbla(info, "cblas_dgemv", "");
       ^~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
                 from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy' [-Wimplicit-function-declaration]
    #define ATL_dcopy   ATL_drefcopy
                        ^
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
          if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
                        ^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
                 from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy' [-Wimplicit-function-declaration]
    #define ATL_scopy   ATL_srefcopy
                        ^
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
          if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
                        ^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
    exit(-1);
    ^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc-ar: adding 33 object files to build/temp.linux-armv7l-2.7/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/__check_build
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/cluster
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_dbscan_inner.cpp:456:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_hierarchical.cpp:449:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means_elkan.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means.c:436:
/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 " \
  ^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3580:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4319:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5764:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6560:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/datasets
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/datasets/_svmlight_format.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/decomposition
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/decomposition/_online_lda.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/decomposition/_online_lda.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/ensemble
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/ensemble/_gradient_boosting.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/feature_extraction
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/feature_extraction/_hashing.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/manifold
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_utils.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_barnes_hut_tsne.c:436:
/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 " \
  ^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_insert':
sklearn/manifold/_barnes_hut_tsne.c:3607:40: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                        ^
sklearn/manifold/_barnes_hut_tsne.c:3607:58: warning: format '%i' expects argument of type 'int', but argument 3 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3607:86: warning: format '%i' expects argument of type 'int', but argument 6 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                                                                      ^
sklearn/manifold/_barnes_hut_tsne.c:3820:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Inserting [%f, %f] into blank cell\n"), __pyx_v_depth, (__pyx_v_pos[0]), (__pyx_v_pos[1]));
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3906:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p is occupied or is a leaf.\n"), __pyx_v_depth, __pyx_v_root);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3915:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p leaf = %i. Size %i\n"), __pyx_v_depth, __pyx_v_root, __pyx_v_root->is_leaf, __pyx_v_root->size);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3915:70: warning: format '%i' expects argument of type 'int', but argument 5 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p leaf = %i. Size %i\n"), __pyx_v_depth, __pyx_v_root, __pyx_v_root->is_leaf, __pyx_v_root->size);
                                                                      ^
sklearn/manifold/_barnes_hut_tsne.c:4001:55: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
           printf(((char const *)"[t-SNE] Warning: [d=%i] Detected identical points. Returning. Leaf now has size %i\n"), __pyx_v_depth, __pyx_v_root->size);
                                                       ^
sklearn/manifold/_barnes_hut_tsne.c:4001:115: warning: format '%i' expects argument of type 'int', but argument 3 has type 'long int' [-Wformat=]
           printf(((char const *)"[t-SNE] Warning: [d=%i] Detected identical points. Returning. Leaf now has size %i\n"), __pyx_v_depth, __pyx_v_root->size);
                                                                                                                   ^
sklearn/manifold/_barnes_hut_tsne.c:4066:44: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] [d=%i] Subdividing this leaf node %p\n"), __pyx_v_depth, __pyx_v_root);
                                            ^
sklearn/manifold/_barnes_hut_tsne.c:4130:44: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] [d=%i] Relocating old point to node %p\n"), __pyx_v_depth, __pyx_v_child);
                                            ^
sklearn/manifold/_barnes_hut_tsne.c:4175:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Selecting node for new point\n"), __pyx_v_depth);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_insert_many':
sklearn/manifold/_barnes_hut_tsne.c:4368:55: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] inserting point %i: [%f, %f]\n"), __pyx_v_i, (__pyx_v_row[0]), (__pyx_v_row[1]));
                                                       ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_count_points':
sklearn/manifold/_barnes_hut_tsne.c:4956:39: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] %i points in node %p\n"), __pyx_v_count, __pyx_v_root);
                                       ^
sklearn/manifold/_barnes_hut_tsne.c:5067:56: warning: format '%d' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] Child has size %d\n"), __pyx_v_child->size);
                                                        ^
sklearn/manifold/_barnes_hut_tsne.c:5170:37: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] %i points in this node\n"), __pyx_v_count);
                                     ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient':
sklearn/manifold/_barnes_hut_tsne.c:5271:48: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] Allocating %i elements in force arrays\n"), ((__pyx_v_n * __pyx_v_n_dimensions) * 2));
                                                ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:6305:43: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] Tree: %i clock ticks | "), __pyx_v_dta);
                                           ^
sklearn/manifold/_barnes_hut_tsne.c:6314:48: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"Force computation: %i clock ticks\n"), __pyx_v_dtb);
                                                ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -o build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/metrics
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/pairwise_fast.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so
building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/metrics/cluster
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/cluster/expected_mutual_info_fast.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/neighbors
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/ball_tree.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/kd_tree.c:435:
/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 " \
  ^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:21695:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
                                                 ^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/dist_metrics.c:435:
/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 " \
  ^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:6703:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error)
                                                                                     ^
sklearn/neighbors/dist_metrics.c:6508:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:7517:84: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error)
                                                                                    ^
sklearn/neighbors/dist_metrics.c:7438:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:8220:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error)
                                                                                     ^
sklearn/neighbors/dist_metrics.c:8035:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist':
sklearn/neighbors/dist_metrics.c:9081:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error)
                                                                                      ^
sklearn/neighbors/dist_metrics.c:8841:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/typedefs.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/tree
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_tree.c:435:
/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 " \
  ^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:13699:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int,  npy_intp *, npy_intp *, void *, int,  PyObject *))*(PyArray_API + 376u)' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1104, __pyx_L1_error)
                                    ^
sklearn/tree/_tree.c:13699:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_splitter.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_splitter.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_criterion.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_criterion.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_utils.c:435:
/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 " \
  ^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:5689:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:6034:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:6146:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/liblinear.c:435:
/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 " \
  ^~~~~~~
In file included from sklearn/svm/liblinear.c:438:0:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
     problem->sample_weight = sample_weight;
                            ^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
     problem->sample_weight = sample_weight;
                            ^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
  int n_iter;
      ^~~~~~
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/liblinear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm_sparse.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/_isotonic.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/cd_fast.c:436:
/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 " \
  ^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4528:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:4537:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:4546:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:5943:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:5952:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:5961:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8128:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:8137:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10078:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:10087:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12518:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:12527:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:12536:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14021:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:14030:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:14039:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sgd_fast.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sag_fast.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sag_fast.so
building 'sklearn.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/utils
creating build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsefuncs_fast.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/arrayfuncs.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/murmurhash.c:435:
/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 " \
  ^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/fast_dict.cpp:455:
/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 " \
  ^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:22187:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
             return PyInt_FromLong((long) value);
                                               ^
sklearn/utils/fast_dict.cpp:3817:46: note: '__pyx_v_min_key' was declared here
   __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
                                              ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/seq_dataset.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/weight_vector.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_random.c:435:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC

compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:436:
/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-9xgeTe/python2.7-2.7.13=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
   dh_auto_test -a -O--buildsystem=python_distutils
dh_auto_test: Compatibility levels before 9 are deprecated (level 7 in use)
   create-stamp debian/debhelper-build-stamp
 fakeroot debian/rules binary-arch
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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 binary-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh: Compatibility levels before 9 are deprecated (level 7 in use)
   dh_testroot -a -O--buildsystem=python_distutils
   dh_prep -a -O--buildsystem=python_distutils
   debian/rules override_dh_auto_install
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
echo "2.7" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.21" && { \
	echo "I: Using pre-Cython-ed files for Python 2.7"; \
	touch PKG-INFO; \
	cd debian/cythonized-files$PY/ ; \
	find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
python2.7 setup.py install --install-layout=deb  --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
Partial import of sklearn during the build process.
sklearn
sklearn/_isotonic.pyx has not changed
sklearn/__check_build/_check_build.pyx has not changed
sklearn/cluster/_dbscan_inner.pyx has not changed
sklearn/cluster/_hierarchical.pyx has not changed
sklearn/cluster/_k_means.pyx has not changed
sklearn/cluster/_k_means_elkan.pyx has not changed
sklearn/datasets/_svmlight_format.pyx has not changed
sklearn/decomposition/_online_lda.pyx has not changed
sklearn/decomposition/cdnmf_fast.pyx has not changed
sklearn/ensemble/_gradient_boosting.pyx has not changed
sklearn/feature_extraction/_hashing.pyx has not changed
sklearn/linear_model/cd_fast.pyx has not changed
sklearn/linear_model/sag_fast.pyx has not changed
sklearn/linear_model/sgd_fast.pyx has not changed
sklearn/manifold/_barnes_hut_tsne.pyx has not changed
sklearn/manifold/_utils.pyx has not changed
sklearn/metrics/pairwise_fast.pyx has not changed
sklearn/metrics/cluster/expected_mutual_info_fast.pyx has not changed
sklearn/neighbors/ball_tree.pyx has not changed
sklearn/neighbors/dist_metrics.pyx has not changed
sklearn/neighbors/kd_tree.pyx has not changed
sklearn/neighbors/typedefs.pyx has not changed
sklearn/svm/liblinear.pyx has not changed
sklearn/svm/libsvm.pyx has not changed
sklearn/svm/libsvm_sparse.pyx has not changed
sklearn/tree/_criterion.pyx has not changed
sklearn/tree/_splitter.pyx has not changed
sklearn/tree/_tree.pyx has not changed
sklearn/tree/_utils.pyx has not changed
sklearn/utils/_logistic_sigmoid.pyx has not changed
sklearn/utils/_random.pyx has not changed
sklearn/utils/arrayfuncs.pyx has not changed
sklearn/utils/fast_dict.pyx has not changed
sklearn/utils/graph_shortest_path.pyx has not changed
sklearn/utils/lgamma.pyx has not changed
sklearn/utils/murmurhash.pyx has not changed
sklearn/utils/seq_dataset.pyx has not changed
sklearn/utils/sparsefuncs_fast.pyx has not changed
sklearn/utils/weight_vector.pyx has not changed
sklearn/utils/sparsetools/_graph_tools.pyx has not changed
sklearn/utils/sparsetools/_traversal.pyx has not changed
Generating cython files
Cythonizing sources
blas_opt_info:
blas_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

blis_info:
  libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

openblas_info:
  libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_info:
  libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Atlas (http://math-atlas.sourceforge.net/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [atlas]) or by setting
    the ATLAS environment variable.
  self.calc_info()
blas_info:
  libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  self.calc_info()
blas_src_info:
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [blas_src]) or by setting
    the BLAS_SRC environment variable.
  self.calc_info()
  NOT AVAILABLE

sklearn/setup.py:71: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  warnings.warn(BlasNotFoundError.__doc__)
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp
creating /<<PKGBUILDDIR>>/debian/tmp/usr
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/qda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-2.7/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/_online_lda.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/odict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-2.7/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_splitter.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_criterion.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests/test_traversal.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_random.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/_isotonic.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/exceptions.py to exceptions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/lda.py to lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py to learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multioutput.py to multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/qda.py to qda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py to gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py to gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py to kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py to _search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py to _split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py to _validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_base.py to _base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/rbm.py to rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py to birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py to k_means_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/spectral.py to spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/common.py to common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/california_housing.py to california_housing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/covtype.py to covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py to mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/rcv1.py to rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/lfw.py to lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py to nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py to online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py to bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py to forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/iforest.py to iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/funcsigs.py to funcsigs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/odict.py to odict.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py to t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py to ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py to approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/kde.py to kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_export.py to test_export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/huber.py to huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py to sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/arpack.py to arpack.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/bench.py to bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/class_weight.py to class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py to deprecation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py to extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/fixes.py to fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/metaestimators.py to metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/mocking.py to mocking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/optimize.py to optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py to random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/stats.py to stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py to testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py to validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/_graph_validation.py to _graph_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests/test_traversal.py to test_traversal.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_random.py to test_random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_calibration.py to test_calibration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/scikit_learn-0.18.egg-info
running install_clib
echo "3.5" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.21" && { \
	echo "I: Using pre-Cython-ed files for Python 3.5"; \
	touch PKG-INFO; \
	cd debian/cythonized-files$PY/ ; \
	find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
python3.5 setup.py install --install-layout=deb  --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
sklearn
sklearn/_isotonic.pyx has not changed
sklearn/__check_build/_check_build.pyx has not changed
sklearn/cluster/_dbscan_inner.pyx has not changed
sklearn/cluster/_hierarchical.pyx has not changed
sklearn/cluster/_k_means.pyx has not changed
sklearn/cluster/_k_means_elkan.pyx has not changed
sklearn/datasets/_svmlight_format.pyx has not changed
sklearn/decomposition/_online_lda.pyx has not changed
sklearn/decomposition/cdnmf_fast.pyx has not changed
sklearn/ensemble/_gradient_boosting.pyx has not changed
sklearn/feature_extraction/_hashing.pyx has not changed
sklearn/linear_model/cd_fast.pyx has not changed
sklearn/linear_model/sag_fast.pyx has not changed
sklearn/linear_model/sgd_fast.pyx has not changed
sklearn/manifold/_barnes_hut_tsne.pyx has not changed
sklearn/manifold/_utils.pyx has not changed
sklearn/metrics/pairwise_fast.pyx has not changed
sklearn/metrics/cluster/expected_mutual_info_fast.pyx has not changed
sklearn/neighbors/ball_tree.pyx has not changed
sklearn/neighbors/dist_metrics.pyx has not changed
sklearn/neighbors/kd_tree.pyx has not changed
sklearn/neighbors/typedefs.pyx has not changed
sklearn/svm/liblinear.pyx has not changed
sklearn/svm/libsvm.pyx has not changed
sklearn/svm/libsvm_sparse.pyx has not changed
sklearn/tree/_criterion.pyx has not changed
sklearn/tree/_splitter.pyx has not changed
sklearn/tree/_tree.pyx has not changed
sklearn/tree/_utils.pyx has not changed
sklearn/utils/_logistic_sigmoid.pyx has not changed
sklearn/utils/_random.pyx has not changed
sklearn/utils/arrayfuncs.pyx has not changed
sklearn/utils/fast_dict.pyx has not changed
sklearn/utils/graph_shortest_path.pyx has not changed
sklearn/utils/lgamma.pyx has not changed
sklearn/utils/murmurhash.pyx has not changed
sklearn/utils/seq_dataset.pyx has not changed
sklearn/utils/sparsefuncs_fast.pyx has not changed
sklearn/utils/weight_vector.pyx has not changed
sklearn/utils/sparsetools/_graph_tools.pyx has not changed
sklearn/utils/sparsetools/_traversal.pyx has not changed
Generating cython files
Cythonizing sources
blas_opt_info:
blas_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

blis_info:
  libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

openblas_info:
  libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_3_10_blas_info:
  libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

blas_info:
  libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

blas_src_info:
  NOT AVAILABLE

  NOT AVAILABLE

running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-armv7l-3.5
creating build/lib.linux-armv7l-3.5/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/lda.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/qda.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-3.5/sklearn
creating build/lib.linux-armv7l-3.5/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-3.5/sklearn/__check_build
creating build/lib.linux-armv7l-3.5/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/_build_utils
creating build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
creating build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
creating build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
creating build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
creating build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
creating build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
creating build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
creating build/lib.linux-armv7l-3.5/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection
creating build/lib.linux-armv7l-3.5/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-3.5/sklearn/model_selection/tests
creating build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
creating build/lib.linux-armv7l-3.5/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network/tests
creating build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
creating build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-3.5/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised
creating build/lib.linux-armv7l-3.5/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
creating build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
creating build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
creating build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
creating build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
creating build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
creating build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
creating build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
creating build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/odict.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-3.5/sklearn/externals
creating build/lib.linux-armv7l-3.5/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/externals/joblib
creating build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
creating build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
creating build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-3.5/sklearn/manifold/tests
creating build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
creating build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
creating build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
creating build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
creating build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors/tests
creating build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-3.5/sklearn/tree
creating build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
creating build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-3.5/sklearn/svm
creating build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
creating build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
creating build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
creating build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils
creating build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/test_traversal.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
creating build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-3.5/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5
creating build/temp.linux-armv7l-3.5/sklearn
creating build/temp.linux-armv7l-3.5/sklearn/svm
creating build/temp.linux-armv7l-3.5/sklearn/svm/src
creating build/temp.linux-armv7l-3.5/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-3.5/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/src
creating build/temp.linux-armv7l-3.5/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
sklearn/src/cblas/cblas_dgemv.c: In function 'cblas_dgemv':
sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
       cblas_xerbla(info, "cblas_dgemv", "");
       ^~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
    exit(-1);
    ^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
                 from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy' [-Wimplicit-function-declaration]
    #define ATL_scopy   ATL_srefcopy
                        ^
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
          if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
                        ^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
                 from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy' [-Wimplicit-function-declaration]
    #define ATL_dcopy   ATL_drefcopy
                        ^
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
          if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
                        ^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
sklearn/src/cblas/cblas_dger.c: In function 'cblas_dger':
sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
       cblas_xerbla(info, "cblas_dger", "");
       ^~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
 static void *ATL_Align2Ptr(const void *pu, const void *pA)
              ^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
 static int ATL_AlignOffset
            ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc-ar: adding 33 object files to build/temp.linux-armv7l-3.5/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/__check_build
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/__check_build/_check_build.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_dbscan_inner.cpp:456:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_hierarchical.cpp:449:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/cluster/_hierarchical.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means_elkan.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means_elkan.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3580:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4319:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5764:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6560:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/datasets
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/datasets/_svmlight_format.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/decomposition
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/decomposition/_online_lda.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/decomposition/_online_lda.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/ensemble
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/ensemble/_gradient_boosting.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/feature_extraction
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/feature_extraction/_hashing.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/manifold
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_utils.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/manifold/_utils.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_barnes_hut_tsne.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_insert':
sklearn/manifold/_barnes_hut_tsne.c:3607:40: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                        ^
sklearn/manifold/_barnes_hut_tsne.c:3607:58: warning: format '%i' expects argument of type 'int', but argument 3 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3607:86: warning: format '%i' expects argument of type 'int', but argument 6 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] [d=%i] Inserting pos %i [%f, %f] duplicate_count=%i into child %p\n"), __pyx_v_depth, __pyx_v_point_index, (__pyx_v_pos[0]), (__pyx_v_pos[1]), __pyx_v_duplicate_count, __pyx_v_root);
                                                                                      ^
sklearn/manifold/_barnes_hut_tsne.c:3820:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Inserting [%f, %f] into blank cell\n"), __pyx_v_depth, (__pyx_v_pos[0]), (__pyx_v_pos[1]));
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3906:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p is occupied or is a leaf.\n"), __pyx_v_depth, __pyx_v_root);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3915:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p leaf = %i. Size %i\n"), __pyx_v_depth, __pyx_v_root, __pyx_v_root->is_leaf, __pyx_v_root->size);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c:3915:70: warning: format '%i' expects argument of type 'int', but argument 5 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Node %p leaf = %i. Size %i\n"), __pyx_v_depth, __pyx_v_root, __pyx_v_root->is_leaf, __pyx_v_root->size);
                                                                      ^
sklearn/manifold/_barnes_hut_tsne.c:4001:55: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
           printf(((char const *)"[t-SNE] Warning: [d=%i] Detected identical points. Returning. Leaf now has size %i\n"), __pyx_v_depth, __pyx_v_root->size);
                                                       ^
sklearn/manifold/_barnes_hut_tsne.c:4001:115: warning: format '%i' expects argument of type 'int', but argument 3 has type 'long int' [-Wformat=]
           printf(((char const *)"[t-SNE] Warning: [d=%i] Detected identical points. Returning. Leaf now has size %i\n"), __pyx_v_depth, __pyx_v_root->size);
                                                                                                                   ^
sklearn/manifold/_barnes_hut_tsne.c:4066:44: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] [d=%i] Subdividing this leaf node %p\n"), __pyx_v_depth, __pyx_v_root);
                                            ^
sklearn/manifold/_barnes_hut_tsne.c:4130:44: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] [d=%i] Relocating old point to node %p\n"), __pyx_v_depth, __pyx_v_child);
                                            ^
sklearn/manifold/_barnes_hut_tsne.c:4175:42: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] [d=%i] Selecting node for new point\n"), __pyx_v_depth);
                                          ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_insert_many':
sklearn/manifold/_barnes_hut_tsne.c:4368:55: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] inserting point %i: [%f, %f]\n"), __pyx_v_i, (__pyx_v_row[0]), (__pyx_v_row[1]));
                                                       ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_count_points':
sklearn/manifold/_barnes_hut_tsne.c:4956:39: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
       printf(((char const *)"[t-SNE] %i points in node %p\n"), __pyx_v_count, __pyx_v_root);
                                       ^
sklearn/manifold/_barnes_hut_tsne.c:5067:56: warning: format '%d' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
         printf(((char const *)"[t-SNE] Child has size %d\n"), __pyx_v_child->size);
                                                        ^
sklearn/manifold/_barnes_hut_tsne.c:5170:37: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] %i points in this node\n"), __pyx_v_count);
                                     ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient':
sklearn/manifold/_barnes_hut_tsne.c:5271:48: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] Allocating %i elements in force arrays\n"), ((__pyx_v_n * __pyx_v_n_dimensions) * 2));
                                                ^
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:6305:43: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"[t-SNE] Tree: %i clock ticks | "), __pyx_v_dta);
                                           ^
sklearn/manifold/_barnes_hut_tsne.c:6314:48: warning: format '%i' expects argument of type 'int', but argument 2 has type 'long int' [-Wformat=]
     printf(((char const *)"Force computation: %i clock ticks\n"), __pyx_v_dtb);
                                                ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -o build/lib.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/metrics
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/pairwise_fast.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/metrics/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/cluster/expected_mutual_info_fast.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/neighbors
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/ball_tree.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/ball_tree.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/kd_tree.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:21695:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
                                                 ^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/kd_tree.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/dist_metrics.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:6703:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error)
                                                                                     ^
sklearn/neighbors/dist_metrics.c:6508:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:7517:84: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error)
                                                                                    ^
sklearn/neighbors/dist_metrics.c:7438:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:8220:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error)
                                                                                     ^
sklearn/neighbors/dist_metrics.c:8035:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist':
sklearn/neighbors/dist_metrics.c:9081:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error)
                                                                                      ^
sklearn/neighbors/dist_metrics.c:8841:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/typedefs.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/typedefs.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/tree
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_tree.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:13699:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int,  npy_intp *, npy_intp *, void *, int,  PyObject *))*(PyArray_API + 376u)' from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1104, __pyx_L1_error)
                                    ^
sklearn/tree/_tree.c:13699:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_tree.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_splitter.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_splitter.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_criterion.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_criterion.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_utils.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:5689:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:6034:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:6146:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
   ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median);
   ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_utils.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-3.5 -llibsvm-skl -o build/lib.linux-armv7l-3.5/sklearn/svm/libsvm.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/liblinear.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
In file included from sklearn/svm/liblinear.c:438:0:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
     problem->sample_weight = sample_weight;
                            ^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
     problem->sample_weight = sample_weight;
                            ^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
  int n_iter;
      ^~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/liblinear.o build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/svm/liblinear.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm_sparse.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-3.5 -llibsvm-skl -o build/lib.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/_isotonic.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/_isotonic.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/cd_fast.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4528:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:4537:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:4546:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:5943:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:5952:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:5961:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8128:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:8137:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10078:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:10087:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12518:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:12527:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:12536:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14021:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:14030:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:14039:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
   __pyx_v_asum = cblas_dasum;
                ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/linear_model/cd_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sgd_fast.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sag_fast.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/linear_model/sag_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/utils
creating build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsefuncs_fast.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/arrayfuncs.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/arrayfuncs.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/murmurhash.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

creating build/temp.linux-armv7l-3.5/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/murmurhash.o build/temp.linux-armv7l-3.5/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/murmurhash.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/lgamma.o build/temp.linux-armv7l-3.5/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/lgamma.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/fast_dict.cpp:455:
/usr/lib/python3/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 " \
  ^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:22187:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
             return PyInt_FromLong((long) value);
                                               ^
sklearn/utils/fast_dict.cpp:3817:46: note: '__pyx_v_min_key' was declared here
   __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
                                              ^~~~~~~~~~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/fast_dict.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/seq_dataset.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/seq_dataset.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/weight_vector.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/weight_vector.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_random.c:435:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/_random.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC

compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:436:
/usr/lib/python3/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 " \
  ^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fdebug-prefix-map=/build/python3.5-RUbMX3/python3.5-3.5.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-arm-linux-gnueabihf.so
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/qda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.5/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.5/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.5/sklearn/__check_build/_check_build.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-3.5/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.5/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.5/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-3.5/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-3.5/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_hierarchical.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means_elkan.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/_online_lda.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/odict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-3.5/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.5/sklearn/manifold/_utils.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/ball_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/kd_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/typedefs.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_splitter.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_criterion.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_utils.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/libsvm.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/liblinear.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/cd_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sag_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/tests/test_traversal.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/arrayfuncs.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/murmurhash.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/lgamma.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/fast_dict.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/seq_dataset.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/weight_vector.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_random.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/_isotonic.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/exceptions.py to exceptions.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/lda.py to lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multioutput.py to multioutput.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/qda.py to qda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py to gpc.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py to gpr.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py to kernels.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py to _search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py to _split.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py to _validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_base.py to _base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/iforest.py to iforest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/odict.py to odict.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/huber.py to huber.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py to deprecation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py to _graph_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/test_traversal.py to test_traversal.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-35.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.18.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Atlas (http://math-atlas.sourceforge.net/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [atlas]) or by setting
    the ATLAS environment variable.
  self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: 
    Blas (http://www.netlib.org/blas/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [blas_src]) or by setting
    the BLAS_SRC environment variable.
  self.calc_info()
sklearn/setup.py:71: UserWarning: 
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  warnings.warn(BlasNotFoundError.__doc__)
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
echo "2.7" | grep -q '^3' && PY=3 || PY=2.7; \
export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \
export MPLCONFIGDIR=/<<PKGBUILDDIR>>/build HOME=/<<PKGBUILDDIR>>/build; \
export JOBLIB_MULTIPROCESSING=2; \
cd build/; python2.7 /usr/bin/nosetests -s -v     sklearn && \
  { python2.7 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/lda.py:4: DeprecationWarning: lda.LDA has been moved to discriminant_analysis.LinearDiscriminantAnalysis in 0.17 and will be removed in 0.19
  "in 0.17 and will be removed in 0.19", DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:23: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
  DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/qda.py:4: DeprecationWarning: qda.QDA has been moved to discriminant_analysis.QuadraticDiscriminantAnalysis in 0.17 and will be removed in 0.19.
  "in 0.17 and will be removed in 0.19.", DeprecationWarning)
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok
sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok
sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok
sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok
sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and  fixed.
sklearn.cluster.tests.test_bicluster.test_errors ... ok
sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok
sklearn.cluster.tests.test_birch.test_partial_fit ... ok
sklearn.cluster.tests.test_birch.test_birch_predict ... ok
sklearn.cluster.tests.test_birch.test_n_clusters ... ok
sklearn.cluster.tests.test_birch.test_sparse_X ... ok
sklearn.cluster.tests.test_birch.test_branching_factor ... ok
sklearn.cluster.tests.test_birch.test_threshold ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok
sklearn.cluster.tests.test_dbscan.test_input_validation ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
sklearn.cluster.tests.test_dbscan.test_boundaries ... ok
sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok
sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok
sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok
sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok
sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok
sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_n_components ... ok
sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok
sklearn.cluster.tests.test_k_means.test_elkan_results ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok
sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok
sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok
sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok
sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok
sklearn.cluster.tests.test_k_means.test_predict ... ok
sklearn.cluster.tests.test_k_means.test_score ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_int_input ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok
sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok
sklearn.cluster.tests.test_k_means.test_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4
Test that x_squared_norms can be None in _init_centroids ... ok
sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok
sklearn.cluster.tests.test_k_means.test_float_precision ... ok
sklearn.cluster.tests.test_k_means.test_KMeans_init_centers ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok
sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok
sklearn.cluster.tests.test_mean_shift.test_parallel ... ERROR
sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok
sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok
sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok
sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok
sklearn.cluster.tests.test_spectral.test_affinities ... ok
sklearn.cluster.tests.test_spectral.test_discretize ... ok
sklearn.covariance.tests.test_covariance.test_covariance ... ok
sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok
sklearn.covariance.tests.test_covariance.test_oas ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok
sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok
sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls ... ok
sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok
sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok
sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok
sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok
sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test
Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Test too slow.
sklearn.datasets.tests.test_base.test_data_home ... ok
sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok
sklearn.datasets.tests.test_base.test_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:123: UserWarning: Could not load sample images, PIL is not available.
  warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_digits ... ok
sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok
sklearn.datasets.tests.test_base.test_load_sample_image ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:151: UserWarning: Could not load sample images, PIL is not available.
  warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:167: UserWarning: Could not load sample images, PIL is not available.
  warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_diabetes ... ok
sklearn.datasets.tests.test_base.test_load_linnerud ... ok
sklearn.datasets.tests.test_base.test_load_iris ... ok
sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok
sklearn.datasets.tests.test_base.test_load_boston ... ok
sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok
sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok
sklearn.datasets.tests.test_base.test_bunch_dir ... ok
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded.
sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded.
SKIP: PIL not installed.
sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok
Test that fetch_mldata is able to download and cache a data set. ... ok
sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok
sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok
sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test.
sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok
Test the construction of informative features in make_classification ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok
sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok
sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok
sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok
sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok
sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok
sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok
sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ERROR
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... ERROR
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok
sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok
sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok
sklearn.decomposition.tests.test_fastica.test_gs ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok
sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok
sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok
sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok
sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok
sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nls_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nls_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok
sklearn.decomposition.tests.test_nmf.test_safe_compute_error ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_projgrad_nmf_sparseness ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_input ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:508: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
  DeprecationWarning)
ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok
sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok
Test LDA on empty document (all-zero rows). ... ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:333: RuntimeWarning: underflow encountered in exp
  assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))),
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2543: RuntimeWarning: underflow encountered in multiply
  result = less_equal(abs(x-y), atol + rtol * abs(y))
ok
sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ERROR
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ERROR
sklearn.decomposition.tests.test_pca.test_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok
sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... ok
sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_validation ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_dim ... ok
sklearn.decomposition.tests.test_pca.test_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_score ... ok
sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok
sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok
sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok
sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok
sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok
sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform.
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ERROR
sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok
sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok
sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok
sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok
sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok
sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok
sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok
sklearn.ensemble.tests.test_bagging.test_classification ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py:747: RuntimeWarning: divide by zero encountered in log
  return np.log(self.predict_proba(X))
ok
sklearn.ensemble.tests.test_bagging.test_regression ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok
sklearn.ensemble.tests.test_bagging.test_probability ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok
sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok
sklearn.ensemble.tests.test_bagging.test_error ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ERROR
sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ERROR
sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok
sklearn.ensemble.tests.test_bagging.test_base_estimator ... ERROR
sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok
sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok
sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_set_random_states ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok
sklearn.ensemble.tests.test_forest.test_1d_input ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[  3.16360000e+00,   0.00000000e+00,   1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok
sklearn.ensemble.tests.test_forest.test_parallel_train ... ok
sklearn.ensemble.tests.test_forest.test_distribution ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[  3.,   1.,   4.,   0.,   3.,   0.,   7.,   2.,   1.,   0.,   5., ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok
Check Isolation Forest for various parameter settings. ... ok
Check IForest for various parameter settings on sparse input. ... ok
Test that it gives proper exception on deficient input. ... ok
Check max_depth recalculation when max_samples is reset to n_samples ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... ok
Check parallel regression. ... ERROR
Test Isolation Forest performs well ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok
sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok
sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok
Check classification by majority label on dataset iris. ... ok
Check voting classifier selects smaller class label in tie situation. ... ok
Check classification by average probabilities on dataset iris. ... ok
Manually check predicted class labels for toy dataset. ... ok
Calculate predicted probabilities on toy dataset. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
  return np.exp(self.predict_log_proba(X))
ok
Check if error is raised for multilabel classification. ... ok
Check GridSearch support. ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply
  avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
ok
Check parallel backend of VotingClassifier on toy dataset. ... ERROR
Tests sample_weight parameter of VotingClassifier ... ok
sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok
sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok
sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok
sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok
sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok
sklearn.ensemble.tests.test_weight_boosting.test_error ... ok
sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok
AdaBoostRegressor should work without sample_weights in the base estimator ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok
sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok
sklearn.feature_extraction.tests.test_image.test_width_patch ... ok
sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok
sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok
sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok
sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok
sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... SKIP: no warning gets issued on armel
sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok
sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_feature_names ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok
sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok
sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok
sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok
sklearn.feature_selection.tests.test_base.test_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_get_support ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok
sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok
sklearn.feature_selection.tests.test_feature_select.test_nans ... ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok
sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_from_model.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
Test that SelectFromModel fits on a clone of the estimator. ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_warm_start ... ok
Test all possible combinations of the prefit parameter. ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
Test that the threshold can be set without refitting the model. ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok
sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ERROR
sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:52: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py:97: RuntimeWarning: underflow encountered in exp
  return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1))
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1033: RuntimeWarning: underflow encountered in exp
  np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
  K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
  (K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:395: RuntimeWarning: underflow encountered in multiply
  W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
  B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply
  C = solve(L, W_sr[:, np.newaxis] * K)  # Line 8
ok
sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply
  K_gradient *= K[..., np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply
  K2_gradient * K1[:, :, np.newaxis]))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:352: RuntimeWarning: underflow encountered in multiply
  R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr))  # Line 7
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply
  return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis],
ok
sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
  return self.k1(X, Y) * self.k2(X, Y)
ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class ... ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... ERROR
sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp
  K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpr.test_prior ... ok
sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok
sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py:427: UserWarning: fmin_l_bfgs_b terminated abnormally with the  state: {'warnflag': 2, 'task': 'ABNORMAL_TERMINATION_IN_LNSRCH', 'grad': array([-0.00015173,  0.00011681]), 'nit': 10, 'funcalls': 74}
  " state: %s" % convergence_dict)
ok
sklearn.gaussian_process.tests.test_gpr.test_random_starts ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok
sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in divide
  / np.sqrt(D.sum(2))[:, :, np.newaxis]
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok
sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok
sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py:282: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if hyperparameter.bounds == "fixed":
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py:297: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if hyperparameter.bounds == "fixed":
ok
sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok
sklearn.linear_model.tests.test_base.test_linear_regression ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok
sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_base.test_fit_intercept ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok
sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_rescale_data ... ok
sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok
sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test
sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok
sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok
sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok
sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok
sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok
Test that outliers filtering is scaling independent. ... ok
Test they should converge to same coefficients for same parameters ... ok
sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok
sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok
sklearn.linear_model.tests.test_least_angle.test_simple ... ok
sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... ok
sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok
sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_no_warning_for_zero_mse ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok
sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok
sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok
sklearn.linear_model.tests.test_logistic.test_sparsify ... ok
sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok
sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok
sklearn.linear_model.tests.test_logistic.test_nan ... ok
sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok
sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_with_classweight_auto ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... I: Seeding RNGs with 1690158338
Converged after 58 iterations.
---
[LibLinear]iter  1 act 8.792e+00 pre 7.983e+00 delta 1.644e+00 f 1.386e+01 |g| 1.288e+01 CG   4
iter  2 act 6.592e-01 pre 5.708e-01 delta 1.644e+00 f 5.071e+00 |g| 2.661e+00 CG   3
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok
sklearn.linear_model.tests.test_logistic.test_n_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... ok
sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok
sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok
sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_omp.test_tol ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok
sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:391: RuntimeWarning:  Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.

  copy_X=copy_X, return_path=return_path)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:380: RuntimeWarning:  Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.

  return_path=return_path)
ok
sklearn.linear_model.tests.test_omp.test_bad_input ... ok
sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok
sklearn.linear_model.tests.test_omp.test_estimator ... ok
sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok
sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok
sklearn.linear_model.tests.test_omp.test_no_atoms ... ok
sklearn.linear_model.tests.test_omp.test_omp_path ... ok
sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok
sklearn.linear_model.tests.test_omp.test_omp_cv ... ok
sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok
sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok
sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_ridge ... ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok
sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_loo at 0xb2e35870>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xb2e358b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xb2e358f0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xb2e35930>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xb2e35970>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xb2e359b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights ... ok
Check class_weights resemble sample_weights behavior. ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok
tests binary classifier with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok
tests if classifier results match target ... ok
sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok
tests multiclass with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok
tests if the binary classifier is computed correctly ... ok
tests if the multiclass classifier is computed correctly ... ok
tests if the sag pobj matches log reg ... ok
tests if the sag pobj matches ridge reg ... ok
tests if the sag regressor performs well ... ok
tests if the sag regressor is computed correctly ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:832: RuntimeWarning: divide by zero encountered in log
  return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:832: RuntimeWarning: divide by zero encountered in log
  return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok
sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok
sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok
sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok
sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ERROR
sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok
sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok
sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok
sklearn.manifold.tests.test_isomap.test_transform ... ok
sklearn.manifold.tests.test_isomap.test_pipeline ... ok
sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok
sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok
sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok
sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok
sklearn.manifold.tests.test_mds.test_smacof ... ok
sklearn.manifold.tests.test_mds.test_smacof_error ... ok
sklearn.manifold.tests.test_mds.test_MDS ... ERROR
sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available.
sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok
sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok
sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok
sklearn.manifold.tests.test_t_sne.test_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok
t-SNE should give a lower KL divergence with more iterations. ... ok
sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok
sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok
sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok
sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok
sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_verbose ... ok
sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok
sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok
sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok
sklearn.manifold.tests.test_t_sne.test_64bit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py:60: RuntimeWarning: underflow encountered in divide
  P = np.maximum(squareform(P) / sum_P, MACHINE_EPSILON)
ok
sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok
sklearn.manifold.tests.test_t_sne.test_quadtree_similar_point ... ok
sklearn.manifold.tests.test_t_sne.test_index_offset ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok
Different number of biclusters in A and B ... ok
sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok
sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok
sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok
sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok
sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok
sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
Test confusion matrix - case with sample_weight ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok
sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok
sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok
sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok
sklearn.metrics.tests.test_classification.test_prf_warnings ... ok
sklearn.metrics.tests.test_classification.test_recall_warnings ... ok
sklearn.metrics.tests.test_classification.test_precision_warnings ... ok
sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok
sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok
sklearn.metrics.tests.test_classification.test_log_loss ... ok
sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok
sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok
sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok
sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok
sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok
sklearn.metrics.tests.test_common.test_symmetry ... ok
sklearn.metrics.tests.test_common.test_inf_nan_input ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok
sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multiclasss_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('precision_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('recall_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f1_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f2_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f0.5_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('recall_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f1_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f2_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('precision_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('recall_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f1_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f2_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb41443f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb41444f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb2e26e70>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb2db6150>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb2e26ed0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb4144330>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb2db61b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb2e26de0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb2db60f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb3f6f2f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb3f6f230>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb2e26f60>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb4144630>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb2e26fc0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb3f6f270>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb2e26e40>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('matthews_corrcoef_score', <function matthews_corrcoef at 0xb4144370>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb2e26e10>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb2e26f90>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb2db6030>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb2e26f30>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb2e26ea0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41445f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb2db6060>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb2e26db0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb2db62d0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41443b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb2e26f00>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb2db6090>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4144270>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb2db6180>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb4144530>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb2db6120>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('brier_score_loss', <function brier_score_loss at 0xb41446b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb2db60c0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hamming_loss', <function hamming_loss at 0xb41445b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb2db6150>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb2e26ed0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb4144330>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb2db61b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb2e26de0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb2db60f0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb3f6f2f0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb3f6f230>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb2e26f60>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb4144630>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb2e26fc0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb3f6f270>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb2e26e40>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb2e26e10>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb2e26f90>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb2db6030>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb2e26f30>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41445f0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb2db6060>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb2e26db0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb2db62d0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41443b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb2e26f00>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb2db6090>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4144270>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb2db6180>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb2db6120>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb2db60c0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hamming_loss', <function hamming_loss at 0xb41445b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4144270>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb2e26de0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hamming_loss', <function hamming_loss at 0xb41445b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb4144330>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb2e26e10>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41443b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb2e26e40>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb2e26ed0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb2e26f00>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb2e26f30>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb2e26f60>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb2e26f90>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb2db60f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb2db6120>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb2db6150>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb2db6180>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb2db61b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb2e26fc0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb2db6030>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb2db6060>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb2db6090>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb2db60c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f0.5_score', <functools.partial object at 0xb2db61e0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f1_score', <functools.partial object at 0xb2db6210>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f2_score', <functools.partial object at 0xb2db6240>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_precision_score', <functools.partial object at 0xb2db6270>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_recall_score', <functools.partial object at 0xb2db62a0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41445f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb2db62d0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('roc_auc_score', <function roc_auc_score at 0xb42478b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_roc_auc', <functools.partial object at 0xb2db6300>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_roc_auc', <functools.partial object at 0xb2db6330>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_roc_auc', <functools.partial object at 0xb2db6360>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_roc_auc', <functools.partial object at 0xb2db6390>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('average_precision_score', <function average_precision_score at 0xb4247870>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_average_precision_score', <functools.partial object at 0xb2db63c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_average_precision_score', <functools.partial object at 0xb2db63f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_average_precision_score', <functools.partial object at 0xb2db6420>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_average_precision_score', <functools.partial object at 0xb2db6450>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('coverage_error', <function coverage_error at 0xb42479f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('label_ranking_loss', <function label_ranking_loss at 0xb4247a30>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb3f6f230>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb3f6f270>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb2e26db0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb3f6f2f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, 'euclidean', {}) ... ERROR
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, <function wminkowski at 0xb4162b70>, {'p': 1, 'w': array([ 1.,  2.,  3.,  4.])}) ... ERROR
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, 'wminkowski', {'p': 1, 'w': array([ 1.,  2.,  3.,  4.])}) ... ERROR
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb3f69af0>, 'polynomial', {'degree': 1}) ... ERROR
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb3f69af0>, <function callable_rbf_kernel at 0xb2db99f0>, {'gamma': 0.1}) ... ERROR
sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok
sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok
sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok
sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok
sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok
sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok
sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok
sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok
sklearn.metrics.tests.test_ranking.test_auc ... ok
sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_ranking.test_auc_errors ... ok
sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... SKIP: no precision-related exceptions get issued on armel
sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb2dc1cf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb2dc1cf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb2dc1cf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb2dc1cf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb42479b0>, 10, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_coverage_error ... ok
sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok
sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok
sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics ... ok
sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok
sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok
sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok
sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok
sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok
sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok
sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok
sklearn.metrics.tests.test_score_objects.test_unsupervised_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok
sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:53: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:52: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead.
  warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_digamma ... ok
sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:665: RuntimeWarning: underflow encountered in exp
  _estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar,
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply
  covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k]
ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:410: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:338: RuntimeWarning: underflow encountered in exp
  responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_gmm.test_sample_gaussian ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function sample_gaussian is deprecated; The function sample_gaussian is deprecated in 0.18 and will be removed in 0.20. Use numpy.random.multivariate_normal instead.
  warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok
sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
  warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_gmm.test_1d_1component ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok
sklearn.mixture.tests.test_gmm.test_aic ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok
sklearn.mixture.tests.test_gmm.test_multiple_init ... ok
sklearn.mixture.tests.test_gmm.test_n_parameters ... ok
sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok
sklearn.model_selection.tests.test_search.test_parameter_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed:    0.1s finished
ok
sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok
sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok
sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok
sklearn.model_selection.tests.test_search.test_no_refit ... ok
sklearn.model_selection.tests.test_search.test_grid_search_error ... ok
sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok
sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok
sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok
sklearn.model_selection.tests.test_search.test_pandas_input ... ok
sklearn.model_selection.tests.test_search.test_refit ... ok
sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok
sklearn.model_selection.tests.test_search.test_X_as_list ... ok
sklearn.model_selection.tests.test_search.test_y_as_list ... ok
sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok
sklearn.model_selection.tests.test_search.test_param_sampler ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results ... ok
sklearn.model_selection.tests.test_search.test_search_iid_param ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok
sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok
sklearn.model_selection.tests.test_search.test_pickle ... ok
sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok
sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok
sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok
sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok
sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:352: RuntimeWarning: underflow encountered in exp
  np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:832: RuntimeWarning: divide by zero encountered in log
  return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok
sklearn.model_selection.tests.test_split.test_kfold_indices ... ok
sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok
sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok
sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok
sklearn.model_selection.tests.test_split.test_kfold_balance ... ok
sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... ok
sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok
sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.model_selection.tests.test_split.test_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok
sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_errors ... ok
sklearn.model_selection.tests.test_split.test_train_test_split ... ok
sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok
sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok
sklearn.model_selection.tests.test_split.test_check_cv ... ok
sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok
sklearn.model_selection.tests.test_split.test_group_kfold ... ok
sklearn.model_selection.tests.test_split.test_time_series_cv ... ok
sklearn.model_selection.tests.test_split.test_nested_cv ... ok
sklearn.model_selection.tests.test_split.test_build_repr ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.model_selection.tests.test_validation.test_permutation_score ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done  15 out of  15 | elapsed:    0.1s finished
ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve ... ok
sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_score_memmap ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:289: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 4. Candidates are filled up uniformly from unselected indices.
  " indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok
sklearn.neighbors.tests.test_approximate.test_distances ... ok
sklearn.neighbors.tests.test_approximate.test_fit ... ok
sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok
sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... ok
sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok
sklearn.neighbors.tests.test_approximate.test_candidates ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:289: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices.
  " indices." % (n_neighbors, self.min_hash_match))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:289: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices.
  " indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_graphs ... ok
sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([ 0.44639417,  0.90726828,  0.80756796])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[ 0.99687626,  0.73035488,  0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.71990983,  0.8614182 ,  0.60004043])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:144: RuntimeWarning: underflow encountered in exp
  return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:199: RuntimeWarning: underflow encountered in exp
  dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples
/usr/lib/python2.7/dist-packages/scipy/stats/kde.py:221: RuntimeWarning: underflow encountered in exp
  result[i] = sum(exp(-energy), axis=0)
ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0.        ,  0.11111111,  0.22222222,  0.33333333,  0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0.        ,  0.11111111,  0.22222222,  0.33333333,  0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok
sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[ 0.53861588,  0.45094267,  0.28419442,  0.41701564,  0.69508182, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[ 0.67507694,  0.64211239,  0.37730269,  0.63475751,  0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.51149072,  0.42978945,  0.28691315,  0.31414856,  0.67822857, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.35478506,  0.34649572,  0.21080154,  0.22142038,  0.53671639, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.26214981,  0.3151016 ,  0.16585854,  0.16045352,  0.48619498, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[ 1.45964409,  1.25116805,  0.56385105,  1.46151151,  2.11940325, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[ 1.21796151,  0.99804582,  0.64796144,  1.09320258,  1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[ 0.8092389 ,  0.73433834,  0.44607985,  0.75978393,  1.06004733, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[ 0.67507694,  0.64211239,  0.37730269,  0.63475751,  0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[ 0.58384805,  0.56795898,  0.32594322,  0.53204405,  0.79637583, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[ 1.21796151,  0.99804582,  0.64796144,  1.09320258,  1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([ 0.22741463,  0.25435648,  0.05802916,  0.43441663])}, array([[ 2.37482514,  1.1721197 ,  1.26879784,  1.66071271,  1.85983097, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[ 0.80314541,  0.98494408,  0.59389881,  1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[ 0.31225657,  0.25850558,  0.13215958,  0.29289755,  0.38919585, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[ 0.75,  0.5 ,  0.25,  0.75,  0.5 ,  0.25,  0.25,  0.5 ,  0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[ 0.75      ,  0.5       ,  0.25      ,  0.75      ,  0.5       , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[ 0.6       ,  0.33333333,  0.14285714,  0.6       ,  0.33333333, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[ 0.85714286,  0.66666667,  0.4       ,  0.85714286,  0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[ 0.85714286,  0.66666667,  0.4       ,  0.85714286,  0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[ 0.75,  0.5 ,  0.25,  0.75,  0.5 ,  0.25,  0.25,  0.5 ,  0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[ 0.85714286,  0.66666667,  0.4       ,  0.85714286,  0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[ 0.85714286,  0.66666667,  0.4       ,  0.85714286,  0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[ 0.        ,  0.34688982,  0.41484926,  0.53172732,  0.52859511, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[ 0.        ,  0.40997835,  0.5640201 ,  0.73274389,  0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.        ,  0.21197555,  0.43461091,  0.43558715,  0.37123525, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.        ,  0.13471566,  0.31498027,  0.30704769,  0.24525516, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}, array([[ 0.        ,  0.08691326,  0.24582898,  0.2276954 ,  0.1766636 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[ 0.        ,  0.57984003,  0.72664541,  1.65888213,  1.36160847, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[ 0.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[ 0.        ,  0.70651994,  0.95154703,  1.21911953,  1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[ 0.        ,  0.48135148,  0.66512238,  0.85934453,  0.77585798, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[ 0.        ,  0.40997835,  0.5640201 ,  0.73274389,  0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[ 0.        ,  0.36478684,  0.48581161,  0.63461015,  0.57396051, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[ 0.        ,  0.70651994,  0.95154703,  1.21911953,  1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([ 0.22741463,  0.25435648,  0.05802916,  0.43441663])}, array([[ 0.        ,  0.91374016,  1.34363768,  2.35165824,  1.43398969, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[ 0.80314541,  0.98494408,  0.59389881,  1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[ 0.        ,  0.14686859,  0.1873355 ,  0.30002036,  0.23338654, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[ 0.  ,  0.5 ,  0.25,  0.5 ,  0.25,  0.25,  0.5 ,  0.5 ,  0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[ 0.        ,  0.5       ,  0.25      ,  0.5       ,  0.25      , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[ 0.        ,  0.33333333,  0.14285714,  0.33333333,  0.14285714, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[ 0.        ,  0.66666667,  0.4       ,  0.66666667,  0.4       , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[ 0.        ,  0.66666667,  0.4       ,  0.66666667,  0.4       , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[ 0.  ,  0.5 ,  0.25,  0.5 ,  0.25,  0.25,  0.5 ,  0.5 ,  0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[ 0.        ,  0.66666667,  0.4       ,  0.66666667,  0.4       , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[ 0.        ,  0.66666667,  0.4       ,  0.66666667,  0.4       , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([ 0.31179588,  0.69634349,  0.37775184,  0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([ 0.22741463,  0.25435648,  0.05802916,  0.43441663])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[ 0.80314541,  0.98494408,  0.59389881,  1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok
sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:95: RuntimeWarning: underflow encountered in exp
  return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False) ... ok
sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:149: RuntimeWarning: underflow encountered in exp
  dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples
ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0.        ,  0.11111111,  0.22222222,  0.33333333,  0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0.        ,  0.11111111,  0.22222222,  0.33333333,  0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp
  return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply
  return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:46: RuntimeWarning: underflow encountered in exp
  assert_allclose(np.exp(log_dens), dens_true,
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2543: RuntimeWarning: underflow encountered in multiply
  result = less_equal(abs(x-y), atol + rtol * abs(y))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:48: RuntimeWarning: underflow encountered in exp
  assert_allclose(np.exp(kde.score(Y)),
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05) ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... ok
sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok
sklearn.neighbors.tests.test_kde.test_kde_score ... ok
sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok
sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py:138: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean.
  warnings.warn("Averaging for metrics other than "
ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok
Tests unsupervised NearestNeighbors with a distance matrix. ... ok
sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok
Test whether points lying on boundary are handled consistently ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... ok
sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok
sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok
sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok
sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ERROR
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok
sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok
sklearn.neural_network.tests.test_mlp.test_alpha ... ok
sklearn.neural_network.tests.test_mlp.test_fit ... ok
sklearn.neural_network.tests.test_mlp.test_gradient ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok
sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok
sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... ok
sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok
sklearn.neural_network.tests.test_mlp.test_params_errors ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok
sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok
sklearn.neural_network.tests.test_mlp.test_tolerance ... ok
sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... ok
sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok
sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok
sklearn.neural_network.tests.test_rbm.test_fit ... ok
sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_transform ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok
sklearn.neural_network.tests.test_rbm.test_score_samples ... ok
sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok
sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scale_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok
sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py:482: RuntimeWarning: underflow encountered in nextafter
  epsilon = np.nextafter(0, 1)
ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_scaler_int ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok
sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok
sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok
sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_deprecation_minmax_scaler ... ok
sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok
sklearn.preprocessing.tests.test_data.test_normalize ... ok
sklearn.preprocessing.tests.test_data.test_binarizer ... ok
sklearn.preprocessing.tests.test_data.test_center_kernel ... ok
sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... ok
sklearn.preprocessing.tests.test_data.test_fit_transform ... ok
sklearn.preprocessing.tests.test_data.test_deprecation_standard_scaler ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok
sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok
sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok
sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok
sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:3858: RuntimeWarning: Invalid value encountered in median for 1 results
  r = func(a, **kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less
  n_negative = np.count_nonzero(data < 0)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2889: RuntimeWarning: Mean of empty slice.
  out=out, **kwargs)
/usr/lib/python2.7/dist-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars
  ret = ret.dtype.type(ret / rcount)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok
sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[ 2.,  0.,  0.], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok
sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok
Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok
Test l1_min_c loss='log' dense multi-class no-intercept ... ok
Test l1_min_c loss='log' dense multi-class fit-intercept ... ok
Test l1_min_c loss='log' dense two-classes no-intercept ... ok
Test l1_min_c loss='log' dense two-classes fit-intercept ... ok
Test l1_min_c loss='log' sparse multi-class no-intercept ... ok
Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='log' sparse two-classes no-intercept ... ok
Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok
sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok
sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok
Check that sparse SVC gives the same result as SVC ... ok
sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok
sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok
sklearn.svm.tests.test_sparse.test_svc_iris ... ok
sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok
sklearn.svm.tests.test_sparse.test_error ... ok
sklearn.svm.tests.test_sparse.test_linearsvc ... ok
sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok
sklearn.svm.tests.test_sparse.test_weight ... ok
sklearn.svm.tests.test_sparse.test_sample_weights ... ok
sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok
Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok
sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok
sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_sparse.test_timeout ... ok
sklearn.svm.tests.test_sparse.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok
sklearn.svm.tests.test_svm.test_libsvm_iris ... ok
sklearn.svm.tests.test_svm.test_precomputed ... ok
sklearn.svm.tests.test_svm.test_svr ... ok
sklearn.svm.tests.test_svm.test_linearsvr ... ok
sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
sklearn.svm.tests.test_svm.test_oneclass ... ok
sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok
sklearn.svm.tests.test_svm.test_tweak_params ... ok
sklearn.svm.tests.test_svm.test_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_single_sample_1d ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape ... ok
sklearn.svm.tests.test_svm.test_svr_predict ... ok
sklearn.svm.tests.test_svm.test_weight ... ok
sklearn.svm.tests.test_svm.test_sample_weights ... ok
sklearn.svm.tests.test_svm.test_auto_weight ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1113: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
  'precision', 'predicted', average, warn_for)
ok
sklearn.svm.tests.test_svm.test_bad_input ... ok
sklearn.svm.tests.test_svm.test_unicode_kernel ... ok
sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok
sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok
sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok
sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok
sklearn.svm.tests.test_svm.test_linearsvc ... ok
sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok
sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok
sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok
sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok
sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok
sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok
sklearn.svm.tests.test_svm.test_timeout ... ok
sklearn.svm.tests.test_svm.test_unfitted ... ok
sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ... [LibLinear]
optimization finished, #iter = 2

WARNING: reaching max number of iterations
Using -s 2 may be faster (also see FAQ)

Objective value = -0.170730
nSV = 3
ok
sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok
sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok
sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok
sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok
sklearn.tree.tests.test_export.test_graphviz_toy ... ok
sklearn.tree.tests.test_export.test_graphviz_errors ... ok
sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok
sklearn.tree.tests.test_tree.test_classification_toy ... ok
sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok
sklearn.tree.tests.test_tree.test_regression_toy ... ok
sklearn.tree.tests.test_tree.test_xor ... ok
sklearn.tree.tests.test_tree.test_iris ... ok
sklearn.tree.tests.test_tree.test_boston ... ok
sklearn.tree.tests.test_tree.test_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:791: RuntimeWarning: divide by zero encountered in log
  return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_arrayrepr ... ok
sklearn.tree.tests.test_tree.test_pure_set ... ok
sklearn.tree.tests.test_tree.test_numerical_stability ... ok
sklearn.tree.tests.test_tree.test_1d_input ... ok
sklearn.tree.tests.test_tree.test_importances ... ok
sklearn.tree.tests.test_tree.test_importances_raises ... ok
sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok
sklearn.tree.tests.test_tree.test_max_features ... ok
sklearn.tree.tests.test_tree.test_error ... ok
Test min_samples_split parameter ... ok
sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_impurity_split ... ok
sklearn.tree.tests.test_tree.test_pickle ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:795: RuntimeWarning: divide by zero encountered in log
  proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_classes_shape ... ok
sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok
sklearn.tree.tests.test_tree.test_memory_layout ... ok
sklearn.tree.tests.test_tree.test_sample_weight ... ok
sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok
sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok
sklearn.tree.tests.test_tree.test_arrays_persist ... ok
sklearn.tree.tests.test_tree.test_only_constant_features ... ok
sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok
sklearn.tree.tests.test_tree.test_big_input ... ok
sklearn.tree.tests.test_tree.test_realloc ... ok
sklearn.tree.tests.test_tree.test_huge_allocations ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:791: RuntimeWarning: divide by zero encountered in log
  return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_mae ... ok
sklearn.utils.sparsetools.tests.test_traversal.test_graph_breadth_first ... ok
sklearn.utils.sparsetools.tests.test_traversal.test_graph_depth_first ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_unordered ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok
sklearn.utils.tests.test_extmath.test_density ... ok
sklearn.utils.tests.test_extmath.test_uniform_weights ... ok
sklearn.utils.tests.test_extmath.test_random_weights ... ok
sklearn.utils.tests.test_extmath.test_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok
sklearn.utils.tests.test_extmath.test_row_norms ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok
sklearn.utils.tests.test_extmath.test_svd_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok
sklearn.utils.tests.test_extmath.test_cartesian ... ok
sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok
sklearn.utils.tests.test_extmath.test_fast_dot ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok
sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_softmax ... ok
sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok
sklearn.utils.tests.test_fixes.test_expit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:23: RuntimeWarning: underflow encountered in exp
  assert_almost_equal(expit(1000.), 1. / (1. + np.exp(-1000.)), decimal=16)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:24: RuntimeWarning: underflow encountered in exp
  assert_almost_equal(expit(-1000.), np.exp(-1000.) / (1. + np.exp(-1000.)),
ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_astype_copy_memory ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok
sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... ok
sklearn.utils.tests.test_multiclass.test_class_distribution ... ok
sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok
sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok
sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok
sklearn.utils.tests.test_optimize.test_newton_cg ... ok
sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok
sklearn.utils.tests.test_random.test_random_choice_csc ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py:280: RuntimeWarning: invalid value encountered in true_divide
  np.sum(class_probability_nz))
ok
sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok
sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok
sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok
sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok
sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok
sklearn.utils.tests.test_stats.test_cases([100], 'max', [1.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... ok
test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok
test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok
sklearn.utils.tests.test_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_assert_less_equal ... ok
sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok
sklearn.utils.tests.test_testing.test_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
sklearn.utils.tests.test_testing.test_ignore_warning ... ok
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok
sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok
sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... ok
sklearn.utils.tests.test_utils.test_column_or_1d ... ok
sklearn.utils.tests.test_utils.test_safe_indexing ... ok
sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found
sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok
sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok
sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok
sklearn.utils.tests.test_utils.test_gen_even_slices ... ok
sklearn.utils.tests.test_validation.test_as_float_array ... ok
sklearn.utils.tests.test_validation.test_np_matrix ... ok
sklearn.utils.tests.test_validation.test_memmap ... ok
sklearn.utils.tests.test_validation.test_ordering ... ok
sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok
sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok
sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok
sklearn.utils.tests.test_validation.test_check_array ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:395: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and will raise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
  DeprecationWarning)
ok
sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok
sklearn.utils.tests.test_validation.test_check_symmetric ... ok
sklearn.utils.tests.test_validation.test_check_is_fitted ... ok
sklearn.utils.tests.test_validation.test_check_consistent_length ... ok
sklearn.tests.test_base.test_clone ... ok
sklearn.tests.test_base.test_clone_2 ... ok
sklearn.tests.test_base.test_clone_buggy ... ok
sklearn.tests.test_base.test_clone_empty_array ... ok
sklearn.tests.test_base.test_clone_nan ... ok
sklearn.tests.test_base.test_clone_copy_init_params ... ok
sklearn.tests.test_base.test_clone_sparse_matrices ... ok
sklearn.tests.test_base.test_repr ... ok
sklearn.tests.test_base.test_str ... ok
sklearn.tests.test_base.test_get_params ... ok
sklearn.tests.test_base.test_get_params_deprecated ... ok
sklearn.tests.test_base.test_is_classifier ... ok
sklearn.tests.test_base.test_set_params ... ok
sklearn.tests.test_base.test_score_sample_weight ... ok
sklearn.tests.test_base.test_clone_pandas_dataframe ... ok
sklearn.tests.test_base.test_pickle_version_warning ... ok
sklearn.tests.test_calibration.test_sample_weight ... ok
Test calibration for multiclass ... ok
Test calibration for prefitted classifiers ... ok
Test calibration values with Platt sigmoid model ... ok
Check calibration_curve function ... ok
Test that calibration can accept nan ... ok
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaseEnsemble) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputEstimator) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsOneClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsRestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OutputCodeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFECV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralBiclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralCoclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BaseRidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BinaryGaussianProcessClassifierLaplace) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_ConstantPredictor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_DPGMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_GMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_RidgeGCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BernoulliNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:455: RuntimeWarning: divide by zero encountered in log
  self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:602: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
  % (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:602: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
  % (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:602: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
  % (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:602: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
  % (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(CCA) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(CCA) ... SKIP: CCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:200: RuntimeWarning: invalid value encountered in subtract
  y = y - y_offset
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
  warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LDA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:403: RuntimeWarning: invalid value encountered in divide
  S**2))[:self.n_components]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:376: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
  DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:358: RuntimeWarning: underflow encountered in divide
  affinity_matrix /= normalizer[:, np.newaxis]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide
  lap /= w
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:479: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
  ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:200: RuntimeWarning: invalid value encountered in subtract
  y = y - y_offset
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:403: RuntimeWarning: invalid value encountered in divide
  S**2))[:self.n_components]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:200: RuntimeWarning: invalid value encountered in subtract
  y = y - y_offset
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:200: RuntimeWarning: invalid value encountered in subtract
  y = y - y_offset
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1734: UserWarning: Objective did not converge, you might want to increase the number of iterations
  warnings.warn('Objective did not converge, you might want'
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MultinomialNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:455: RuntimeWarning: divide by zero encountered in log
  self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(NuSVC) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
  warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSCanonical) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: Y residual constant at iteration 1
  warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSRegression) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ProjectedGradientNMF) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:343: UserWarning: Iteration limit reached in nls subproblem.
  warnings.warn("Iteration limit reached in nls subproblem.")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ProjectedGradientNMF) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:343: UserWarning: Iteration limit reached in nls subproblem.
  warnings.warn("Iteration limit reached in nls subproblem.")
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:803: ConvergenceWarning: Maximum number of iteration 5 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QDA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:694: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QDA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:694: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:694: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:694: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:229: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:229: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:229: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:229: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
  warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VarianceThreshold) ... ok
sklearn.tests.test_common.test_configure ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegressionCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:579: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of groups for any class cannot be less than n_splits=3.
  % (min_groups, self.n_splits)), Warning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(SGDClassifier) ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_all_tests_are_importable ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:358: RuntimeWarning: underflow encountered in divide
  affinity_matrix /= normalizer[:, np.newaxis]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:832: RuntimeWarning: underflow encountered in exp
  np.exp(K, K)    # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide
  lap /= w
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:176: RuntimeWarning: underflow encountered in divide
  lap /= w[:, np.newaxis]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:563: ConvergenceWarning: Stochastic Optimizer: Maximum iterations reached and the optimization hasn't converged yet.
  % (), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_transformer_estimators_n_iter:check_non_transformer_estimators_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_transformer_n_iter:check_transformer_n_iter(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(FeatureUnion) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GridSearchCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(GridSearchCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Pipeline) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ProjectedGradientNMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(QDA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomizedSearchCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RandomizedSearchCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectFromModel) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SpectralBiclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SpectralCoclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_BaseRidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_BinaryGaussianProcessClassifierLaplace) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_ConstantPredictor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_DPGMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_GMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_get_params_invariance:check_get_params_invariance(_RidgeGCV) ... ok
sklearn.tests.test_common.test_import_all_consistency ... ok
sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok
sklearn.tests.test_cross_validation.test_kfold_indices ... ok
sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok
sklearn.tests.test_cross_validation.test_kfold_balance ... ok
sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok
sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok
sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok
sklearn.tests.test_cross_validation.test_label_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok
sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split ... ok
sklearn.tests.test_cross_validation.train_test_split_pandas ... ok
sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.tests.test_cross_validation.test_permutation_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok
sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok
sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:286: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
  "the coef_ did not converge", ConvergenceWarning)
ok
sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok
sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok
sklearn.tests.test_cross_validation.test_check_is_partition ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok
sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok
sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok
sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok
sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok
sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok
sklearn.tests.test_discriminant_analysis.test_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariances ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_deprecated_lda_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_stratified_strategy ... ok
sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_uniform_strategy ... ok
sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_string_labels ... ok
sklearn.tests.test_dummy.test_classifier_exceptions ... ok
sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok
sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_regressor_exceptions ... ok
sklearn.tests.test_dummy.test_median_strategy_regressor ... ok
sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_invalid ... ok
sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok
sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok
sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok
sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok
sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok
sklearn.tests.test_dummy.test_classification_sample_weight ... ok
sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok
sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok
sklearn.tests.test_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.0s remaining:    0.0s
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed:    0.1s finished
ok
sklearn.tests.test_grid_search.test_grid_search_score_method ... ok
sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok
sklearn.tests.test_grid_search.test_no_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_error ... ok
sklearn.tests.test_grid_search.test_grid_search_iid ... ok
sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse ... ok
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
sklearn.tests.test_grid_search.test_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok
sklearn.tests.test_grid_search.test_gridsearch_nd ... ok
sklearn.tests.test_grid_search.test_X_as_list ... ok
sklearn.tests.test_grid_search.test_y_as_list ... ok
sklearn.tests.test_grid_search.test_pandas_input ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok
sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok
sklearn.tests.test_grid_search.test_param_sampler ... ok
sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok
sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok
sklearn.tests.test_grid_search.test_pickle ... ok
sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok
sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok
sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok
sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok
sklearn.tests.test_init.test_import_skl ... ok
sklearn.tests.test_isotonic.test_permutation_invariance ... ok
sklearn.tests.test_isotonic.test_check_increasing_up ... ok
sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok
sklearn.tests.test_isotonic.test_check_increasing_down ... ok
sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok
sklearn.tests.test_isotonic.test_check_ci_warn ... ok
sklearn.tests.test_isotonic.test_isotonic_regression ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok
Test isotonic regression fit, transform  and fit_transform ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok
sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok
sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok
sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok
sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok
sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok
sklearn.tests.test_isotonic.test_fast_predict ... ok
sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok
sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok
sklearn.tests.test_kernel_approximation.test_input_validation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok
sklearn.tests.test_learning_curve.test_learning_curve ... ok
sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done  15 out of  15 | elapsed:    0.1s finished
ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok
sklearn.tests.test_learning_curve.test_validation_curve ... ok
sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok
sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok
sklearn.tests.test_multiclass.test_ovr_always_present ... ok
sklearn.tests.test_multiclass.test_ovr_multiclass ... ok
sklearn.tests.test_multiclass.test_ovr_binary ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovr_pipeline ... ok
sklearn.tests.test_multiclass.test_ovr_coef_ ... ok
sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok
sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_decision_function ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... ok
sklearn.tests.test_multiclass.test_ovo_ties2 ... ok
sklearn.tests.test_multiclass.test_ovo_string_y ... ok
sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_multiclass.test_pairwise_indices ... ok
sklearn.tests.test_multiclass.test_pairwise_attribute ... ok
sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok
sklearn.tests.test_multioutput.test_multi_target_regression ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok
sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:266: UserWarning: Can't check dok sparse matrix for nan or inf.
  % spmatrix.format)
ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok
sklearn.tests.test_naive_bayes.test_gnb ... ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... ok
Test whether an error is raised in case of negative priors ... ok
Test whether the class prior override is properly used ... ok
Test whether an error is raised if the number of prior is different ... ok
Test if an error is raised if the sum of prior greater than one ... ok
Test if good prediction when class prior favor largely one class ... ok
Test when the partial fit is called without any data ... ok
Test whether an error is raised when the number of feature changes ... ok
sklearn.tests.test_naive_bayes.test_discrete_prior ... ok
sklearn.tests.test_naive_bayes.test_mnnb ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:455: RuntimeWarning: divide by zero encountered in log
  self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok
sklearn.tests.test_naive_bayes.test_input_check_fit ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok
sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok
sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok
sklearn.tests.test_naive_bayes.test_bnb ... ok
sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok
sklearn.tests.test_pipeline.test_pipeline_init ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok
sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok
sklearn.tests.test_pipeline.test_feature_union ... ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok
sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok
sklearn.tests.test_pipeline.test_set_pipeline_step_none ... ok
sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok
sklearn.tests.test_pipeline.test_make_pipeline ... ok
sklearn.tests.test_pipeline.test_feature_union_weights ... ok
sklearn.tests.test_pipeline.test_feature_union_parallel ... ERROR
sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok
sklearn.tests.test_pipeline.test_classes_property ... ok
sklearn.tests.test_pipeline.test_X1d_inverse_transform ... ok
sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok
sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok
sklearn.tests.test_pipeline.test_step_name_validation ... ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3f93d30>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3f93d30>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3f93d30>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb3f93d70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb3f93d70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb3f93d70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb3f93d70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function <lambda> at 0xb0185eb0>,) ... ok
sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok
sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok
sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok
sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok
sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok
sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok
sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok
sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok
sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok

======================================================================
ERROR: sklearn.cluster.tests.test_mean_shift.test_parallel
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py", line 52, in test_parallel
    ms1.fit(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py", line 392, in fit
    cluster_all=self.cluster_all, n_jobs=self.n_jobs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py", line 191, in mean_shift
    (seed, X, nbrs, max_iter) for seed in seeds)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 311, in configure
    self._pool = MemmapingPool(n_jobs, **backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/pool.py", line 539, in __init__
    os.makedirs(pool_folder)
  File "/usr/lib/python2.7/os.py", line 157, in makedirs
    mkdir(name, mode)
OSError: [Errno 13] Permission denied: '/dev/shm/joblib_memmaping_pool_31644_2995114128'

======================================================================
ERROR: sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py", line 60, in test_dict_learning_reconstruction_parallel
    code = dico.fit(X).transform(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 1076, in fit
    return_n_iter=True)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 519, in dict_learning
    init=code, n_jobs=n_jobs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 300, in sparse_encode
    for this_slice in slices)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py", line 75, in test_dict_learning_lassocd_readonly_data
    code = dico.fit(X_read_only).transform(X_read_only)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 1076, in fit
    return_n_iter=True)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 519, in dict_learning
    init=code, n_jobs=n_jobs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 300, in sparse_encode
    for this_slice in slices)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 746, in run_test
    return func(*args, **kwargs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py", line 205, in test_lda_multi_jobs
    lda.fit(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py", line 518, in fit
    with Parallel(n_jobs=n_jobs, verbose=max(0, self.verbose - 1)) as parallel:
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 529, in __enter__
    self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 746, in run_test
    return func(*args, **kwargs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py", line 222, in test_lda_partial_fit_multi_jobs
    lda.partial_fit(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py", line 474, in partial_fit
    with Parallel(n_jobs=n_jobs, verbose=max(0, self.verbose - 1)) as parallel:
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 529, in __enter__
    self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 746, in run_test
    return func(*args, **kwargs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py", line 85, in test_fit_transform_parallel
    random_state=0).fit(Y)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py", line 127, in fit
    return_n_iter=True
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 519, in dict_learning
    init=code, n_jobs=n_jobs)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py", line 300, in sparse_encode
    for this_slice in slices)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.ensemble.tests.test_bagging.test_parallel_classification
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py", line 425, in test_parallel_classification
    random_state=0).fit(X_train, y_train)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 248, in fit
    return self._fit(X, y, self.max_samples, sample_weight=sample_weight)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 373, in _fit
    for i in range(n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.ensemble.tests.test_bagging.test_parallel_regression
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py", line 470, in test_parallel_regression
    random_state=0).fit(X_train, y_train)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 248, in fit
    return self._fit(X, y, self.max_samples, sample_weight=sample_weight)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 373, in _fit
    for i in range(n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.ensemble.tests.test_bagging.test_base_estimator
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py", line 512, in test_base_estimator
    random_state=0).fit(X_train, y_train)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 248, in fit
    return self._fit(X, y, self.max_samples, sample_weight=sample_weight)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 373, in _fit
    for i in range(n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: Check parallel regression.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py", line 144, in test_iforest_parallel_regression
    random_state=0).fit(X_train)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/iforest.py", line 198, in fit
    sample_weight=sample_weight)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py", line 373, in _fit
    for i in range(n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: Check parallel backend of VotingClassifier on toy dataset.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py", line 228, in test_parallel_predict
    n_jobs=2).fit(X, y)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py", line 165, in fit
    for _, clf in self.estimators)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py", line 303, in test_rfe_cv_n_jobs
    rfecv.fit(X, y)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py", line 423, in fit
    for train, test in cv.split(X, y))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpc.py", line 159, in test_multi_class_n_jobs
    gpc_2.fit(X, y_mc)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py", line 610, in fit
    self.base_estimator_.fit(X, y)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py", line 216, in fit
    for i, column in enumerate(columns))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py", line 266, in test_theil_sen_parallel
    max_subpopulation=2e3).fit(X, y)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py", line 376, in fit
    for job in range(n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.manifold.tests.test_mds.test_MDS
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_mds.py", line 61, in test_MDS
    mds_clf.fit(sim)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py", line 376, in fit
    self.fit_transform(X, init=init)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py", line 414, in fit_transform
    return_n_iter=True)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py", line 261, in smacof
    for seed in seeds)
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, 'euclidean', {})
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py", line 188, in check_pairwise_parallel
    S2 = func(X, metric=metric, n_jobs=2, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1235, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, <function wminkowski at 0xb4162b70>, {'p': 1, 'w': array([ 1.,  2.,  3.,  4.])})
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py", line 188, in check_pairwise_parallel
    S2 = func(X, metric=metric, n_jobs=2, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1235, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb3f69a70>, 'wminkowski', {'p': 1, 'w': array([ 1.,  2.,  3.,  4.])})
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py", line 188, in check_pairwise_parallel
    S2 = func(X, metric=metric, n_jobs=2, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1235, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb3f69af0>, 'polynomial', {'degree': 1})
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py", line 188, in check_pairwise_parallel
    S2 = func(X, metric=metric, n_jobs=2, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1394, in pairwise_kernels
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb3f69af0>, <function callable_rbf_kernel at 0xb2db99f0>, {'gamma': 0.1})
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py", line 188, in check_pairwise_parallel
    S2 = func(X, metric=metric, n_jobs=2, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1394, in pairwise_kernels
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_neighbors.py", line 1186, in check_same_knn_parallel
    y_parallel = clf.predict(X_test)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py", line 145, in predict
    neigh_dist, neigh_ind = self.kneighbors(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py", line 353, in kneighbors
    n_jobs=n_jobs, squared=True)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1235, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py", line 1084, in _parallel_pairwise
    for s in gen_even_slices(Y.shape[0], n_jobs))
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

======================================================================
ERROR: sklearn.tests.test_pipeline.test_feature_union_parallel
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py", line 582, in test_feature_union_parallel
    fs_parallel.fit(X)
  File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py", line 712, in fit
    for _, trans, _ in self._iter())
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 731, in __call__
    n_jobs = self._initialize_backend()
  File "/usr/lib/python2.7/dist-packages/joblib/parallel.py", line 540, in _initialize_backend
    **self._backend_args)
  File "/usr/lib/python2.7/dist-packages/joblib/_parallel_backends.py", line 299, in configure
    '[joblib] Attempting to do parallel computing '
ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using "if __name__ == '__main__'". Please see the joblib documentation on Parallel for more information

----------------------------------------------------------------------
Ran 6891 tests in 2629.541s

FAILED (SKIP=31, errors=22)
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 10
         Function evaluations: 11
         Gradient evaluations: 20
         Hessian evaluations: 40
debian/rules:88: recipe for target 'python-test2.7' failed
make[1]: *** [python-test2.7] Error 1
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules:41: recipe for target 'binary-arch' failed
make: *** [binary-arch] Error 2
dpkg-buildpackage: error: fakeroot debian/rules binary-arch gave error exit status 2
--------------------------------------------------------------------------------
Build finished at 2017-02-07T12:34:03Z

Finished
--------


+------------------------------------------------------------------------------+
| Cleanup                                                                      |
+------------------------------------------------------------------------------+

Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
E: Build failure (dpkg-buildpackage died)

+------------------------------------------------------------------------------+
| Summary                                                                      |
+------------------------------------------------------------------------------+

Build Architecture: armhf
Build-Space: 0
Build-Time: 6974
Distribution: stretch-staging
Fail-Stage: build
Host Architecture: armhf
Install-Time: 1103
Job: scikit-learn_0.18-5
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 8130
Source-Version: 0.18-5
Space: 0
Status: failed
Version: 0.18-5
--------------------------------------------------------------------------------
Finished at 2017-02-07T12:34:03Z
Build needed 00:00:00, 0k disc space
Raspbian Package Auto-Building

Build log for scikit-learn (0.18-5) on armhf
