scikit-learn →
0.13.1-1 →
armhf → 2013-06-18 04:42:18
sbuild (Debian sbuild) 0.63.2 (18 Aug 2012) on testbuildd.raspbian.org
╔══════════════════════════════════════════════════════════════════════════════╗
║ scikit-learn 0.13.1-1 (armhf) 18 Jun 2013 04:03 ║
╚══════════════════════════════════════════════════════════════════════════════╝
Package: scikit-learn
Version: 0.13.1-1
Source Version: 0.13.1-1
Distribution: jessie-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
I: NOTICE: Log filtering will replace 'build/scikit-learn-l19Bz6/scikit-learn-0.13.1' with '«PKGBUILDDIR»'
I: NOTICE: Log filtering will replace 'build/scikit-learn-l19Bz6' with '«BUILDDIR»'
I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/jessie-staging-armhf-sbuild-ad4d731b-51cf-4194-8526-45c41c781dbc' with '«CHROOT»'
┌──────────────────────────────────────────────────────────────────────────────┐
│ Update chroot │
└──────────────────────────────────────────────────────────────────────────────┘
Get:1 http://172.17.0.1 jessie-staging Release.gpg [490 B]
Get:2 http://172.17.0.1 jessie-staging Release [10.8 kB]
Get:3 http://172.17.0.1 jessie-staging/main Sources [6639 kB]
Get:4 http://172.17.0.1 jessie-staging/main armhf Packages [7586 kB]
Ign http://172.17.0.1 jessie-staging/main Translation-en
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┌──────────────────────────────────────────────────────────────────────────────┐
│ Fetch source files │
└──────────────────────────────────────────────────────────────────────────────┘
Check APT
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Checking available source versions...
Download source files with APT
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Reading package lists...
Building dependency tree...
Reading state information...
NOTICE: 'scikit-learn' packaging is maintained in the 'Git' version control system at:
git://github.com/yarikoptic/scikit-learn.git
Need to get 3473 kB of source archives.
Get:1 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.13.1-1 (dsc) [1804 B]
Get:2 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.13.1-1 (tar) [3463 kB]
Get:3 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.13.1-1 (diff) [8906 B]
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Download complete and in download only mode
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Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package `sbuild-build-depends-core-dummy' in `/«BUILDDIR»/resolver-46p_Dw/apt_archive/sbuild-build-depends-core-dummy.deb'.
OK
Reading package lists...
┌──────────────────────────────────────────────────────────────────────────────┐
│ Install core build dependencies (apt-based resolver) │
└──────────────────────────────────────────────────────────────────────────────┘
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following NEW packages will be installed:
sbuild-build-depends-core-dummy
debconf: delaying package configuration, since apt-utils is not installed
0 upgraded, 1 newly installed, 0 to remove and 3 not upgraded.
Need to get 0 B/704 B of archives.
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Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 11338 files and directories currently installed.)
Unpacking sbuild-build-depends-core-dummy (from .../sbuild-build-depends-core-dummy.deb) ...
Setting up sbuild-build-depends-core-dummy (0.invalid.0) ...
Merged Build-Depends: base-files, base-passwd, bash, bsdutils, coreutils, dash, debianutils, diffutils, dpkg, e2fsprogs, findutils, grep, gzip, hostname, libc-bin, login, mount, ncurses-base, ncurses-bin, perl-base, sed, sysvinit, sysvinit-utils, tar, util-linux, libc6-dev | libc-dev, gcc (>= 4:4.4.3), g++ (>= 4:4.4.3), make, dpkg-dev (>= 1.13.5), debhelper (>= 7.0.50), python-all-dev (>= 2.5), python-support (>= 0.6), python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-sphinx (>= 1.0~), graphviz, python-nose, python-setuptools, cython (>= 0.12~), python-matplotlib, swig, python-joblib (>= 0.4.5)
Filtered Build-Depends: base-files, base-passwd, bash, bsdutils, coreutils, dash, debianutils, diffutils, dpkg, e2fsprogs, findutils, grep, gzip, hostname, libc-bin, login, mount, ncurses-base, ncurses-bin, perl-base, sed, sysvinit, sysvinit-utils, tar, util-linux, libc6-dev, gcc (>= 4:4.4.3), g++ (>= 4:4.4.3), make, dpkg-dev (>= 1.13.5), debhelper (>= 7.0.50), python-all-dev (>= 2.5), python-support (>= 0.6), python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-sphinx (>= 1.0~), graphviz, python-nose, python-setuptools, cython (>= 0.12~), python-matplotlib, swig, python-joblib (>= 0.4.5)
dpkg-deb: building package `sbuild-build-depends-scikit-learn-dummy' in `/«BUILDDIR»/resolver-pstvvF/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'.
OK
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 extra packages will be installed:
bsdmainutils cython debhelper docutils-common file fontconfig
fontconfig-config fonts-dejavu-core fonts-lyx gettext gettext-base
gir1.2-glib-2.0 graphviz groff-base html2text intltool-debian libamd2.2.0
libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3
libavahi-common-data libavahi-common3 libblas3 libcairo2 libcdt4 libcgraph5
libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libffi6 libfontconfig1
libfreetype6 libgcrypt11 libgd2-noxpm libgdk-pixbuf2.0-0
libgdk-pixbuf2.0-common libgfortran3 libgirepository-1.0-1 libglib2.0-0
libgnutls26 libgpg-error0 libgraph4 libgraphite2-3 libgssapi-krb5-2
libgtk2.0-0 libgtk2.0-common libgvc5 libgvpr1 libharfbuzz0a libice6
libjasper1 libjbig0 libjpeg8 libjs-jquery libjs-sphinxdoc libjs-underscore
libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 liblapack3 libltdl7
libmagic1 libp11-kit0 libpango-1.0-0 libpango1.0-0 libpangocairo-1.0-0
libpangoft2-1.0-0 libpangox-1.0-0 libpangoxft-1.0-0 libpathplan4
libpipeline1 libpixman-1-0 libpng12-0 libpython2.7 libpython2.7-dev
libpython2.7-minimal libpython2.7-stdlib libsm6 libsqlite3-0 libssl1.0.0
libsvm-dev libsvm3 libtasn1-3 libthai-data libthai0 libtiff4 libumfpack5.4.0
libunistring0 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0
libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6
libxdot4 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxmu6
libxpm4 libxrandr2 libxrender1 libxss1 libxt6 man-db mime-support po-debconf
python python-all python-all-dev python-cairo python-dateutil python-dev
python-docutils python-gi python-gobject python-gobject-2 python-jinja2
python-joblib python-markupsafe python-matplotlib python-matplotlib-data
python-minimal python-nose python-numpy python-pkg-resources python-pygments
python-pyparsing python-roman python-scipy python-setuptools python-sphinx
python-support python-tz python2.7 python2.7-dev python2.7-minimal sgml-base
shared-mime-info sphinx-common swig swig2.0 tcl8.5 tk8.5 ttf-dejavu-core ucf
x11-common xml-core
Suggested packages:
wamerican wordlist whois vacation dh-make gettext-doc gsfonts graphviz-doc
groff cups-common rng-tools libgd-tools krb5-doc krb5-user librsvg2-common
gvfs libjasper-runtime ttf-baekmuk ttf-arphic-gbsn00lp ttf-arphic-bsmi00lp
ttf-arphic-gkai00mp ttf-arphic-bkai00mp less www-browser libmail-box-perl
python-doc python-tk texlive-latex-recommended texlive-latex-base
texlive-lang-french fonts-linuxlibertine ttf-linux-libertine python-gi-cairo
python-gobject-2-dbg python-jinja2-doc dvipng ipython python-configobj
python-excelerator python-gtk2 python-matplotlib-doc python-qt4
python-traits python-wxgtk2.8 texlive-extra-utils texlive-latex-extra
python-coverage python-nose-doc python-numpy-doc python-numpy-dbg gfortran
python-distribute python-distribute-doc ttf-bitstream-vera python-profiler
jsmath libjs-mathjax texlive-fonts-recommended python2.7-doc binfmt-support
sgml-base-doc swig-doc swig-examples swig2.0-examples swig2.0-doc
tcl-tclreadline
Recommended packages:
curl wget lynx-cur autopoint libasprintf-dev libgettextpo-dev ttf-liberation
libglib2.0-data hicolor-icon-theme libgtk2.0-bin javascript-common
krb5-locales libmail-sendmail-perl python-imaging libpaper-utils python-lxml
docutils-doc python-simplejson python-glade2 python-chardet sphinx-doc xterm
x-terminal-emulator
The following NEW packages will be installed:
bsdmainutils cython debhelper docutils-common file fontconfig
fontconfig-config fonts-dejavu-core fonts-lyx gettext gettext-base
gir1.2-glib-2.0 graphviz groff-base html2text intltool-debian libamd2.2.0
libasprintf0c2 libatk1.0-0 libatk1.0-data libavahi-client3
libavahi-common-data libavahi-common3 libblas3 libcairo2 libcdt4 libcgraph5
libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev libffi6 libfontconfig1
libfreetype6 libgcrypt11 libgd2-noxpm libgdk-pixbuf2.0-0
libgdk-pixbuf2.0-common libgfortran3 libgirepository-1.0-1 libglib2.0-0
libgnutls26 libgpg-error0 libgraph4 libgraphite2-3 libgssapi-krb5-2
libgtk2.0-0 libgtk2.0-common libgvc5 libgvpr1 libharfbuzz0a libice6
libjasper1 libjbig0 libjpeg8 libjs-jquery libjs-sphinxdoc libjs-underscore
libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 liblapack3 libltdl7
libmagic1 libp11-kit0 libpango-1.0-0 libpango1.0-0 libpangocairo-1.0-0
libpangoft2-1.0-0 libpangox-1.0-0 libpangoxft-1.0-0 libpathplan4
libpipeline1 libpixman-1-0 libpng12-0 libpython2.7 libpython2.7-dev
libpython2.7-minimal libpython2.7-stdlib libsm6 libsqlite3-0 libssl1.0.0
libsvm-dev libsvm3 libtasn1-3 libthai-data libthai0 libtiff4 libumfpack5.4.0
libunistring0 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0
libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6
libxdot4 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxmu6
libxpm4 libxrandr2 libxrender1 libxss1 libxt6 man-db mime-support po-debconf
python python-all python-all-dev python-cairo python-dateutil python-dev
python-docutils python-gi python-gobject python-gobject-2 python-jinja2
python-joblib python-markupsafe python-matplotlib python-matplotlib-data
python-minimal python-nose python-numpy python-pkg-resources python-pygments
python-pyparsing python-roman python-scipy python-setuptools python-sphinx
python-support python-tz python2.7 python2.7-dev python2.7-minimal
sbuild-build-depends-scikit-learn-dummy sgml-base shared-mime-info
sphinx-common swig swig2.0 tcl8.5 tk8.5 ttf-dejavu-core ucf x11-common
xml-core
0 upgraded, 161 newly installed, 0 to remove and 3 not upgraded.
Need to get 98.1 MB/98.1 MB of archives.
After this operation, 240 MB of additional disk space will be used.
Get:1 http://172.17.0.1/private/ jessie-staging/main libpipeline1 armhf 1.2.3-1 [35.8 kB]
Get:2 http://172.17.0.1/private/ jessie-staging/main libssl1.0.0 armhf 1.0.1e-2+rpi1 [1049 kB]
Get:3 http://172.17.0.1/private/ jessie-staging/main groff-base armhf 1.22.2-3 [666 kB]
Get:4 http://172.17.0.1/private/ jessie-staging/main bsdmainutils armhf 9.0.5 [206 kB]
Get:5 http://172.17.0.1/private/ jessie-staging/main man-db armhf 2.6.3-6 [867 kB]
Get:6 http://172.17.0.1/private/ jessie-staging/main libasprintf0c2 armhf 0.18.2.1-1 [28.4 kB]
Get:7 http://172.17.0.1/private/ jessie-staging/main libgpg-error0 armhf 1.10-3.1 [78.5 kB]
Get:8 http://172.17.0.1/private/ jessie-staging/main libgcrypt11 armhf 1.5.0-5 [299 kB]
Get:9 http://172.17.0.1/private/ jessie-staging/main libp11-kit0 armhf 0.12-3 [48.2 kB]
Get:10 http://172.17.0.1/private/ jessie-staging/main libtasn1-3 armhf 2.14-3 [64.1 kB]
Get:11 http://172.17.0.1/private/ jessie-staging/main libgnutls26 armhf 2.12.23-5 [598 kB]
Get:12 http://172.17.0.1/private/ jessie-staging/main libkeyutils1 armhf 1.5.5-7 [8024 B]
Get:13 http://172.17.0.1/private/ jessie-staging/main libkrb5support0 armhf 1.10.1+dfsg-5 [46.2 kB]
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Get:15 http://172.17.0.1/private/ jessie-staging/main libkrb5-3 armhf 1.10.1+dfsg-5 [342 kB]
Get:16 http://172.17.0.1/private/ jessie-staging/main libgssapi-krb5-2 armhf 1.10.1+dfsg-5 [131 kB]
Get:17 http://172.17.0.1/private/ jessie-staging/main libmagic1 armhf 1:5.14-2 [213 kB]
Get:18 http://172.17.0.1/private/ jessie-staging/main libpython2.7-minimal armhf 2.7.5-5 [520 kB]
Get:19 http://172.17.0.1/private/ jessie-staging/main mime-support all 3.54 [36.4 kB]
Get:20 http://172.17.0.1/private/ jessie-staging/main libexpat1 armhf 2.1.0-3 [117 kB]
Get:21 http://172.17.0.1/private/ jessie-staging/main libffi6 armhf 3.0.13-4 [19.8 kB]
Get:22 http://172.17.0.1/private/ jessie-staging/main libsqlite3-0 armhf 3.7.17-1 [436 kB]
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Get:24 http://172.17.0.1/private/ jessie-staging/main libpython2.7 armhf 2.7.5-5 [1159 kB]
Get:25 http://172.17.0.1/private/ jessie-staging/main libxml2 armhf 2.8.0+dfsg1-7+nmu1 [822 kB]
Get:26 http://172.17.0.1/private/ jessie-staging/main python2.7-minimal armhf 2.7.5-5 [1196 kB]
Get:27 http://172.17.0.1/private/ jessie-staging/main libglib2.0-0 armhf 2.36.1-2build1 [1895 kB]
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Get:33 http://172.17.0.1/private/ jessie-staging/main libfreetype6 armhf 2.4.9-1.1 [401 kB]
Get:34 http://172.17.0.1/private/ jessie-staging/main ucf all 3.0027 [71.4 kB]
Get:35 http://172.17.0.1/private/ jessie-staging/main fonts-dejavu-core all 2.33+svn2514-3 [1042 kB]
Get:36 http://172.17.0.1/private/ jessie-staging/main ttf-dejavu-core all 2.33+svn2514-3 [29.8 kB]
Get:37 http://172.17.0.1/private/ jessie-staging/main fontconfig-config all 2.9.0-7.1 [233 kB]
Get:38 http://172.17.0.1/private/ jessie-staging/main libfontconfig1 armhf 2.9.0-7.1 [285 kB]
Get:39 http://172.17.0.1/private/ jessie-staging/main libpixman-1-0 armhf 0.26.0-4 [413 kB]
Get:40 http://172.17.0.1/private/ jessie-staging/main libpng12-0 armhf 1.2.49-4 [179 kB]
Get:41 http://172.17.0.1/private/ jessie-staging/main libxau6 armhf 1:1.0.7-1 [17.6 kB]
Get:42 http://172.17.0.1/private/ jessie-staging/main libxdmcp6 armhf 1:1.1.1-1 [24.6 kB]
Get:43 http://172.17.0.1/private/ jessie-staging/main libxcb1 armhf 1.8.1-2+deb7u1 [42.9 kB]
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Get:84 http://172.17.0.1/private/ jessie-staging/main x11-common all 1:7.7+3 [284 kB]
Get:85 http://172.17.0.1/private/ jessie-staging/main libice6 armhf 2:1.0.8-2 [56.2 kB]
Get:86 http://172.17.0.1/private/ jessie-staging/main libltdl7 armhf 2.4.2-1.2 [349 kB]
Get:87 http://172.17.0.1/private/ jessie-staging/main libexpat1-dev armhf 2.1.0-3 [210 kB]
Get:88 http://172.17.0.1/private/ jessie-staging/main libpython2.7-dev armhf 2.7.5-5 [30.6 MB]
Get:89 http://172.17.0.1/private/ jessie-staging/main libsm6 armhf 2:1.2.1-2 [32.5 kB]
Get:90 http://172.17.0.1/private/ jessie-staging/main libunistring0 armhf 0.9.3-5 [408 kB]
Get:91 http://172.17.0.1/private/ jessie-staging/main libxt6 armhf 1:1.1.3-1+deb7u1 [181 kB]
Get:92 http://172.17.0.1/private/ jessie-staging/main libxmu6 armhf 2:1.1.1-1 [59.1 kB]
Get:93 http://172.17.0.1/private/ jessie-staging/main libxpm4 armhf 1:3.5.10-1 [44.9 kB]
Get:94 http://172.17.0.1/private/ jessie-staging/main libxaw7 armhf 2:1.0.10-2 [192 kB]
Get:95 http://172.17.0.1/private/ jessie-staging/main libxss1 armhf 1:1.2.2-1 [16.8 kB]
Get:96 http://172.17.0.1/private/ jessie-staging/main python2.7 armhf 2.7.5-5 [229 kB]
Get:97 http://172.17.0.1/private/ jessie-staging/main python-minimal all 2.7.3-5 [41.8 kB]
Get:98 http://172.17.0.1/private/ jessie-staging/main python all 2.7.3-5 [184 kB]
Get:99 http://172.17.0.1/private/ jessie-staging/main libgirepository-1.0-1 armhf 1.36.0-2 [97.0 kB]
Get:100 http://172.17.0.1/private/ jessie-staging/main gir1.2-glib-2.0 armhf 1.36.0-2 [177 kB]
Get:101 http://172.17.0.1/private/ jessie-staging/main python-gi armhf 3.8.2-1+rpi1 [459 kB]
Get:102 http://172.17.0.1/private/ jessie-staging/main sgml-base all 1.26+nmu4 [14.6 kB]
Get:103 http://172.17.0.1/private/ jessie-staging/main file armhf 1:5.14-2 [53.8 kB]
Get:104 http://172.17.0.1/private/ jessie-staging/main gettext-base armhf 0.18.2.1-1 [131 kB]
Get:105 http://172.17.0.1/private/ jessie-staging/main python-support all 1.0.15 [33.6 kB]
Get:106 http://172.17.0.1/private/ jessie-staging/main cython armhf 0.19+git51-g3078752-1 [1522 kB]
Get:107 http://172.17.0.1/private/ jessie-staging/main html2text armhf 1.3.2a-16 [97.6 kB]
Get:108 http://172.17.0.1/private/ jessie-staging/main gettext armhf 0.18.2.1-1 [1932 kB]
Get:109 http://172.17.0.1/private/ jessie-staging/main intltool-debian all 0.35.0+20060710.1 [29.8 kB]
Get:110 http://172.17.0.1/private/ jessie-staging/main po-debconf all 1.0.16+nmu2 [223 kB]
Get:111 http://172.17.0.1/private/ jessie-staging/main debhelper all 9.20120909 [705 kB]
Get:112 http://172.17.0.1/private/ jessie-staging/main xml-core all 0.13+nmu2 [24.2 kB]
Get:113 http://172.17.0.1/private/ jessie-staging/main docutils-common all 0.10-3 [210 kB]
Get:114 http://172.17.0.1/private/ jessie-staging/main fonts-lyx all 2.0.6-1 [167 kB]
Get:115 http://172.17.0.1/private/ jessie-staging/main libcdt4 armhf 2.26.3-14 [58.4 kB]
Get:116 http://172.17.0.1/private/ jessie-staging/main libcgraph5 armhf 2.26.3-14 [80.9 kB]
Get:117 http://172.17.0.1/private/ jessie-staging/main libgraph4 armhf 2.26.3-14 [68.9 kB]
Get:118 http://172.17.0.1/private/ jessie-staging/main libpathplan4 armhf 2.26.3-14 [62.9 kB]
Get:119 http://172.17.0.1/private/ jessie-staging/main libxdot4 armhf 2.26.3-14 [53.5 kB]
Get:120 http://172.17.0.1/private/ jessie-staging/main libgvc5 armhf 2.26.3-14 [485 kB]
Get:121 http://172.17.0.1/private/ jessie-staging/main libgvpr1 armhf 2.26.3-14 [233 kB]
Get:122 http://172.17.0.1/private/ jessie-staging/main graphviz armhf 2.26.3-14 [351 kB]
Get:123 http://172.17.0.1/private/ jessie-staging/main libamd2.2.0 armhf 1:3.4.0-3 [21.5 kB]
Get:124 http://172.17.0.1/private/ jessie-staging/main libblas3 armhf 1.2.20110419-5 [201 kB]
Get:125 http://172.17.0.1/private/ jessie-staging/main libjs-jquery all 1.7.2+dfsg-2 [80.2 kB]
Get:126 http://172.17.0.1/private/ jessie-staging/main libjs-underscore all 1.1.6-1+deb7u1 [30.8 kB]
Get:127 http://172.17.0.1/private/ jessie-staging/main libjs-sphinxdoc all 1.1.3+dfsg-8 [44.5 kB]
Get:128 http://172.17.0.1/private/ jessie-staging/main liblapack3 armhf 3.4.2+dfsg-1 [3584 kB]
Get:129 http://172.17.0.1/private/ jessie-staging/main libsvm3 armhf 3.12-1 [40.6 kB]
Get:130 http://172.17.0.1/private/ jessie-staging/main libsvm-dev armhf 3.12-1 [42.2 kB]
Get:131 http://172.17.0.1/private/ jessie-staging/main libumfpack5.4.0 armhf 1:3.4.0-3 [307 kB]
Get:132 http://172.17.0.1/private/ jessie-staging/main python-all all 2.7.3-5 [856 B]
Get:133 http://172.17.0.1/private/ jessie-staging/main python2.7-dev armhf 2.7.5-5 [277 kB]
Get:134 http://172.17.0.1/private/ jessie-staging/main python-dev all 2.7.3-5 [908 B]
Get:135 http://172.17.0.1/private/ jessie-staging/main python-all-dev all 2.7.3-5 [874 B]
Get:136 http://172.17.0.1/private/ jessie-staging/main python-cairo armhf 1.8.8-1 [68.6 kB]
Get:137 http://172.17.0.1/private/ jessie-staging/main python-dateutil all 1.5+dfsg-0.1 [55.3 kB]
Get:138 http://172.17.0.1/private/ jessie-staging/main python-roman all 1.4.0-2 [7266 B]
Get:139 http://172.17.0.1/private/ jessie-staging/main python-docutils all 0.10-3 [428 kB]
Get:140 http://172.17.0.1/private/ jessie-staging/main python-gobject-2 armhf 2.28.6-12 [316 kB]
Get:141 http://172.17.0.1/private/ jessie-staging/main python-markupsafe armhf 0.15-1 [14.5 kB]
Get:142 http://172.17.0.1/private/ jessie-staging/main python-jinja2 all 2.7-3 [170 kB]
Get:143 http://172.17.0.1/private/ jessie-staging/main python-joblib all 0.7.0+git14-g3e5784c-1 [54.5 kB]
Get:144 http://172.17.0.1/private/ jessie-staging/main python-gobject all 3.8.2-1+rpi1 [242 kB]
Get:145 http://172.17.0.1/private/ jessie-staging/main python-matplotlib-data all 1.1.1~rc2-1 [2057 kB]
Get:146 http://172.17.0.1/private/ jessie-staging/main python-pyparsing all 1.5.6+dfsg1-2 [64.7 kB]
Get:147 http://172.17.0.1/private/ jessie-staging/main python-tz all 2012c-1 [39.9 kB]
Get:148 http://172.17.0.1/private/ jessie-staging/main python-numpy armhf 1:1.7.1-2 [1926 kB]
Get:149 http://172.17.0.1/private/ jessie-staging/main tcl8.5 armhf 8.5.11-2 [1569 kB]
Get:150 http://172.17.0.1/private/ jessie-staging/main tk8.5 armhf 8.5.11-2 [1121 kB]
Get:151 http://172.17.0.1/private/ jessie-staging/main python-matplotlib armhf 1.1.1~rc2-1 [2472 kB]
Get:152 http://172.17.0.1/private/ jessie-staging/main python-pkg-resources all 0.6.37-1 [66.2 kB]
Get:153 http://172.17.0.1/private/ jessie-staging/main python-nose all 1.3.0-2 [155 kB]
Get:154 http://172.17.0.1/private/ jessie-staging/main python-pygments all 1.6+dfsg-1 [547 kB]
Get:155 http://172.17.0.1/private/ jessie-staging/main python-setuptools all 0.6.37-1 [467 kB]
Get:156 http://172.17.0.1/private/ jessie-staging/main sphinx-common all 1.1.3+dfsg-8 [419 kB]
Get:157 http://172.17.0.1/private/ jessie-staging/main python-sphinx all 1.1.3+dfsg-8 [312 kB]
Get:158 http://172.17.0.1/private/ jessie-staging/main swig2.0 armhf 2.0.7-3 [1378 kB]
Get:159 http://172.17.0.1/private/ jessie-staging/main swig armhf 2.0.7-3 [277 kB]
Get:160 http://172.17.0.1/private/ jessie-staging/main python-scipy armhf 0.10.1+dfsg2-1 [10.3 MB]
debconf: delaying package configuration, since apt-utils is not installed
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update-alternatives: using /usr/share/docutils/scripts/python2/rstpep2html to provide /usr/bin/rstpep2html (rstpep2html) in auto mode
Setting up python-sphinx (1.1.3+dfsg-8) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin ...
ldconfig deferred processing now taking place
Processing triggers for python-support ...
┌──────────────────────────────────────────────────────────────────────────────┐
│ Build environment │
└──────────────────────────────────────────────────────────────────────────────┘
Kernel: Linux 3.9.4-imx4 armhf (armv7l)
Toolchain package versions: binutils_2.22-8 dpkg-dev_1.16.10 g++-4.6_4.6.4-2+rpi1 gcc-4.6_4.6.4-2+rpi1 libc6-dev_2.17-3 libstdc++6_4.8.0-7+rpi1 libstdc++6-4.6-dev_4.6.4-2+rpi1 linux-libc-dev_3.2.41-2+rpi1
Package versions: apt_0.9.7.8+rpi1 base-files_7.2 base-passwd_3.5.26 bash_4.2+dfsg-1 binutils_2.22-8 bsdmainutils_9.0.5 bsdutils_1:2.20.1-5.4 build-essential_11.6 bzip2_1.0.6-4 coreutils_8.13-3.5 cpio_2.11+dfsg-0.1 cpp_4:4.6.3-8 cpp-4.6_4.6.4-2+rpi1 cython_0.19+git51-g3078752-1 dash_0.5.7-3 debconf_1.5.50 debconf-i18n_1.5.50 debfoster_2.7-1.2 debhelper_9.20120909 debianutils_4.3.4 diffutils_1:3.2-8 docutils-common_0.10-3 dpkg_1.16.10 dpkg-dev_1.16.10 e2fslibs_1.42.5-1.1 e2fsprogs_1.42.5-1.1 fakeroot_1.18.4-2 file_1:5.14-2 findutils_4.4.2-5 fontconfig_2.9.0-7.1 fontconfig-config_2.9.0-7.1 fonts-dejavu-core_2.33+svn2514-3 fonts-lyx_2.0.6-1 g++_4:4.6.3-8 g++-4.6_4.6.4-2+rpi1 gcc_4:4.6.3-8 gcc-4.5-base_4.5.3-12+rpi1 gcc-4.6_4.6.4-2+rpi1 gcc-4.6-base_4.6.4-2+rpi1 gcc-4.7-base_4.7.3-4+rpi1 gcc-4.8-base_4.8.0-7+rpi1 gettext_0.18.2.1-1 gettext-base_0.18.2.1-1 gir1.2-glib-2.0_1.36.0-2 gnupg_1.4.12-7 gpgv_1.4.12-7 graphviz_2.26.3-14 grep_2.14-2 groff-base_1.22.2-3 gzip_1.5-1.1 hostname_3.12 html2text_1.3.2a-16 initramfs-tools_0.112 initscripts_2.88dsf-41 insserv_1.14.0-5 intltool-debian_0.35.0+20060710.1 klibc-utils_2.0.1-3.1+rpi1 kmod_9-3 libacl1_2.2.52-1 libamd2.2.0_1:3.4.0-3 libapt-pkg4.12_0.9.7.8+rpi1 libasprintf0c2_0.18.2.1-1 libatk1.0-0_2.8.0-2 libatk1.0-data_2.8.0-2 libattr1_1:2.4.47-1 libavahi-client3_0.6.31-2 libavahi-common-data_0.6.31-2 libavahi-common3_0.6.31-2 libblas3_1.2.20110419-5 libblkid1_2.20.1-5.4 libbz2-1.0_1.0.6-4 libc-bin_2.17-3 libc-dev-bin_2.17-3 libc6_2.17-3 libc6-dev_2.17-3 libcairo2_1.12.14-4 libcap2_1:2.22-1.2 libcdt4_2.26.3-14 libcgraph5_2.26.3-14 libclass-isa-perl_0.36-5 libcomerr2_1.42.5-1.1 libcroco3_0.6.8-2 libcups2_1.5.3-5 libdatrie1_0.2.6-2 libdb5.1_5.1.29-5 libdbus-1-3_1.6.10-1 libdpkg-perl_1.16.10 libexpat1_2.1.0-3 libexpat1-dev_2.1.0-3 libffi6_3.0.13-4 libfontconfig1_2.9.0-7.1 libfreetype6_2.4.9-1.1 libgc1c2_1:7.1-9.1 libgcc1_1:4.8.0-7+rpi1 libgcrypt11_1.5.0-5 libgd2-noxpm_2.0.36~rc1~dfsg-6.1 libgdbm3_1.8.3-11 libgdk-pixbuf2.0-0_2.28.1-1 libgdk-pixbuf2.0-common_2.28.1-1 libgfortran3_4.8.0-7+rpi1 libgirepository-1.0-1_1.36.0-2 libglib2.0-0_2.36.1-2build1 libgmp10_2:5.1.2+dfsg-1 libgnutls26_2.12.23-5 libgomp1_4.8.0-7+rpi1 libgpg-error0_1.10-3.1 libgraph4_2.26.3-14 libgraphite2-3_1.2.2-2 libgssapi-krb5-2_1.10.1+dfsg-5 libgtk2.0-0_2.24.18-1 libgtk2.0-common_2.24.18-1 libgvc5_2.26.3-14 libgvpr1_2.26.3-14 libharfbuzz0a_0.9.18-3 libice6_2:1.0.8-2 libjasper1_1.900.1-14 libjbig0_2.0-2 libjpeg8_8d-1 libjs-jquery_1.7.2+dfsg-2 libjs-sphinxdoc_1.1.3+dfsg-8 libjs-underscore_1.1.6-1+deb7u1 libk5crypto3_1.10.1+dfsg-5 libkeyutils1_1.5.5-7 libklibc_2.0.1-3.1+rpi1 libkmod2_9-3 libkrb5-3_1.10.1+dfsg-5 libkrb5support0_1.10.1+dfsg-5 liblapack3_3.4.2+dfsg-1 liblocale-gettext-perl_1.05-7 libltdl7_2.4.2-1.2 liblzma5_5.1.1alpha+20120614-2 libmagic1_1:5.14-2 libmount1_2.20.1-5.4 libmpc2_0.9-4 libmpc3_1.0.1-1 libmpfr4_3.1.1-1 libncurses5_5.9+20130504-1 libncursesw5_5.9+20130504-1 libp11-kit0_0.12-3 libpam-modules_1.1.3-9 libpam-modules-bin_1.1.3-9 libpam-runtime_1.1.3-9 libpam0g_1.1.3-9 libpango-1.0-0_1.32.5-5 libpango1.0-0_1.32.5-5 libpangocairo-1.0-0_1.32.5-5 libpangoft2-1.0-0_1.32.5-5 libpangox-1.0-0_0.0.2-4 libpangoxft-1.0-0_1.32.5-5 libpathplan4_2.26.3-14 libpcre3_1:8.31-2 libpipeline1_1.2.3-1 libpixman-1-0_0.26.0-4 libpng12-0_1.2.49-4 libprocps0_1:3.3.4-2 libpython2.7_2.7.5-5 libpython2.7-dev_2.7.5-5 libpython2.7-minimal_2.7.5-5 libpython2.7-stdlib_2.7.5-5 libreadline6_6.2+dfsg-0.1 libselinux1_2.1.13-2 libsemanage-common_2.1.10-2 libsemanage1_2.1.10-2 libsepol1_2.1.9-2 libslang2_2.2.4-15 libsm6_2:1.2.1-2 libsqlite3-0_3.7.17-1 libss2_1.42.5-1.1 libssl1.0.0_1.0.1e-2+rpi1 libstdc++6_4.8.0-7+rpi1 libstdc++6-4.6-dev_4.6.4-2+rpi1 libsvm-dev_3.12-1 libsvm3_3.12-1 libswitch-perl_2.16-2 libtasn1-3_2.14-3 libtext-charwidth-perl_0.04-7 libtext-iconv-perl_1.7-5 libtext-wrapi18n-perl_0.06-7 libthai-data_0.1.19-2 libthai0_0.1.19-2 libtiff4_3.9.6-11 libtimedate-perl_1.2000-1 libtinfo5_5.9+20130504-1 libudev0_175-7.2 libumfpack5.4.0_1:3.4.0-3 libunistring0_0.9.3-5 libusb-0.1-4_2:0.1.12-23+nmu1 libustr-1.0-1_1.0.4-3 libuuid1_2.20.1-5.4 libx11-6_2:1.5.0-1+deb7u1 libx11-data_2:1.5.0-1+deb7u1 libxau6_1:1.0.7-1 libxaw7_2:1.0.10-2 libxcb-render0_1.8.1-2+deb7u1 libxcb-shm0_1.8.1-2+deb7u1 libxcb1_1.8.1-2+deb7u1 libxcomposite1_1:0.4.3-2 libxcursor1_1:1.1.13-1+deb7u1 libxdamage1_1:1.1.3-2 libxdmcp6_1:1.1.1-1 libxdot4_2.26.3-14 libxext6_2:1.3.1-2+deb7u1 libxfixes3_1:5.0-4+deb7u1 libxft2_2.3.1-1 libxi6_2:1.6.1-1+deb7u1 libxinerama1_2:1.1.2-1+deb7u1 libxml2_2.8.0+dfsg1-7+nmu1 libxmu6_2:1.1.1-1 libxpm4_1:3.5.10-1 libxrandr2_2:1.3.2-2+deb7u1 libxrender1_1:0.9.7-1+deb7u1 libxss1_1:1.2.2-1 libxt6_1:1.1.3-1+deb7u1 linux-libc-dev_3.2.41-2+rpi1 login_1:4.1.5.1-1 lsb-base_4.1+Debian8+rpi1 make_3.81-8.2 makedev_2.3.1-93 man-db_2.6.3-6 mawk_1.3.3-17 mime-support_3.54 mount_2.20.1-5.4 multiarch-support_2.17-3 ncurses-base_5.9+20130504-1 ncurses-bin_5.9+20130504-1 passwd_1:4.1.5.1-1 patch_2.6.1-3 perl_5.14.2-21+rpi1 perl-base_5.14.2-21+rpi1 perl-modules_5.14.2-21+rpi1 plymouth_0.8.8-6 po-debconf_1.0.16+nmu2 procps_1:3.3.4-2 python_2.7.3-5 python-all_2.7.3-5 python-all-dev_2.7.3-5 python-cairo_1.8.8-1 python-dateutil_1.5+dfsg-0.1 python-dev_2.7.3-5 python-docutils_0.10-3 python-gi_3.8.2-1+rpi1 python-gobject_3.8.2-1+rpi1 python-gobject-2_2.28.6-12 python-jinja2_2.7-3 python-joblib_0.7.0+git14-g3e5784c-1 python-markupsafe_0.15-1 python-matplotlib_1.1.1~rc2-1 python-matplotlib-data_1.1.1~rc2-1 python-minimal_2.7.3-5 python-nose_1.3.0-2 python-numpy_1:1.7.1-2 python-pkg-resources_0.6.37-1 python-pygments_1.6+dfsg-1 python-pyparsing_1.5.6+dfsg1-2 python-roman_1.4.0-2 python-scipy_0.10.1+dfsg2-1 python-setuptools_0.6.37-1 python-sphinx_1.1.3+dfsg-8 python-support_1.0.15 python-tz_2012c-1 python2.7_2.7.5-5 python2.7-dev_2.7.5-5 python2.7-minimal_2.7.5-5 raspbian-archive-keyring_20120528.2 readline-common_6.2+dfsg-0.1 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.2.2-1 sensible-utils_0.0.7 sgml-base_1.26+nmu4 shared-mime-info_1.0-1 sphinx-common_1.1.3+dfsg-8 swig_2.0.7-3 swig2.0_2.0.7-3 sysv-rc_2.88dsf-41 sysvinit_2.88dsf-41 sysvinit-utils_2.88dsf-41 tar_1.26+dfsg-5 tcl8.5_8.5.11-2 tk8.5_8.5.11-2 ttf-dejavu-core_2.33+svn2514-3 tzdata_2013c-2 ucf_3.0027 udev_175-7.2 util-linux_2.20.1-5.4 x11-common_1:7.7+3 xml-core_0.13+nmu2 xz-utils_5.1.1alpha+20120614-2 zlib1g_1:1.2.8.dfsg-1
┌──────────────────────────────────────────────────────────────────────────────┐
│ Build │
└──────────────────────────────────────────────────────────────────────────────┘
Unpack source
─────────────
gpgv: keyblock resource `/sbuild-nonexistent/.gnupg/trustedkeys.gpg': file open error
gpgv: Signature made Mon Jun 3 14:07:24 2013 UTC using DSA key ID 75C024C8
gpgv: Can't check signature: public key not found
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.13.1-1.dsc
dpkg-source: info: extracting scikit-learn in scikit-learn-0.13.1
dpkg-source: info: unpacking scikit-learn_0.13.1.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.13.1-1.debian.tar.gz
dpkg-source: info: applying deb_use_system_joblib
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
LANG=en_US.UTF-8
LC_ALL=POSIX
LOGNAME=root
LS_OPTIONS=--color=auto
MAIL=/var/mail/root
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
PWD=/root
SCHROOT_ALIAS_NAME=jessie-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=jessie-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=111
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=jessie-staging-armhf-sbuild-ad4d731b-51cf-4194-8526-45c41c781dbc
SCHROOT_UID=106
SCHROOT_USER=buildd
SHELL=/bin/sh
SHLVL=1
SSH_CLIENT=192.168.1.2 53797 22
SSH_CONNECTION=192.168.1.2 53797 192.168.1.45 22
SSH_TTY=/dev/pts/0
TERM=xterm
USER=root
XDG_SESSION_COOKIE=106ef489ba27ee071ab233f6518d3bce-1371250784.150246-1803625542
_=/etc/init.d/buildd
dpkg-buildpackage
─────────────────
dpkg-buildpackage: source package scikit-learn
dpkg-buildpackage: source version 0.13.1-1
dpkg-source --before-build scikit-learn-0.13.1
dpkg-buildpackage: host architecture armhf
fakeroot debian/rules clean
: # Explicit build system to avoid use of all-in-1 Makefile
dh clean --buildsystem=python_distutils
dh_testdir -O--buildsystem=python_distutils
dh_auto_clean -O--buildsystem=python_distutils
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['/usr/local/lib', '/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', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1504: 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.
warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1513: 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__)
blas_src_info:
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1516: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
NOT AVAILABLE
sklearn/svm/setup.py:55: 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__)
sklearn/setup.py:64: 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 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.linux-armv7l-2.7' does not exist -- can't clean it
debian/rules override_dh_clean
make[1]: Entering directory `/«PKGBUILDDIR»'
rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py
dh_clean
make[1]: Leaving directory `/«PKGBUILDDIR»'
debian/rules build-arch
: # Explicit build system to avoid use of all-in-1 Makefile
dh build-arch --buildsystem=python_distutils
dh_testdir -a -O--buildsystem=python_distutils
dh_auto_configure -a -O--buildsystem=python_distutils
dh_auto_build -a -O--buildsystem=python_distutils
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['/usr/local/lib', '/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', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1504: 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.
warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1513: 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__)
blas_src_info:
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1516: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
NOT AVAILABLE
sklearn/svm/setup.py:55: 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__)
sklearn/setup.py:64: 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 "blas" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.utils.sparsetools._csgraph" sources
building extension "sklearn.utils.arraybuilder" sources
building extension "sklearn.utils.sparsefuncs" 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.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils.random" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn._hmmc" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.utils.sparsetools._csgraph" sources
building extension "sklearn.utils.arraybuilder" sources
building extension "sklearn.utils.sparsefuncs" 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.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils.random" 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/_build_utils.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/hmm.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/lda.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multiclass.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/pls.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/preprocessing.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
copying sklearn/test_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/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/svm/sparse
copying sklearn/svm/sparse/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm/sparse
copying sklearn/svm/sparse/base.py -> build/lib.linux-armv7l-2.7/sklearn/svm/sparse
copying sklearn/svm/sparse/classes.py -> build/lib.linux-armv7l-2.7/sklearn/svm/sparse
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/lfw.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/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
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_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_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/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/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/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_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/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/decomposition
copying sklearn/decomposition/__init__.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/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/pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.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_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_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
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/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/partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.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_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_partial_dependence.py -> 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_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_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/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/rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/selector_mixin.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
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_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_rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_selector_mixin.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/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/_csgraph.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/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/setup.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/csgraph.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/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_extmath.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_murmurhash.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_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_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/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/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/mixture
copying sklearn/mixture/__init__.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/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_dpgmm.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/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/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
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/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/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/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/spectral_embedding.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
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/metrics.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/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/tree
copying sklearn/tree/__init__.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_tree.py -> 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_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
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_metrics.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
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/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_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
copying sklearn/metrics/cluster/tests/__init__.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/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/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/ridge.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
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_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_ridge.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/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/_csgraph.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/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/setup.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
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/csgraph.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/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_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_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_hmm.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_lda.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_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_pls.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_preprocessing.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_qda.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: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -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/pymodules/python2.7/numpy/core/include -c'
c++: sklearn/svm/src/libsvm/libsvm_template.cpp
ar: adding 1 object files to build/temp.linux-armv7l-2.7/liblibsvm-skl.a
building 'blas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/blas
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/svm/src/blas/dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/svm/src/blas/daxpy.c
arm-linux-gnueabihf-gcc: sklearn/svm/src/blas/dscal.c
arm-linux-gnueabihf-gcc: sklearn/svm/src/blas/ddot.c
ar: adding 4 object files to build/temp.linux-armv7l-2.7/libblas.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -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/pymodules/python2.7/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvUTN.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]
sklearn/src/cblas/cblas_dgemv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvLNU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_strsv.c
sklearn/src/cblas/cblas_strsv.c: In function 'cblas_strsv':
sklearn/src/cblas/cblas_strsv.c:73:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
sklearn/src/cblas/cblas_strsv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
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_srot.c
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvUNN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvLTU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.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]
sklearn/src/cblas/cblas_dger.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvUNU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvLNU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvUTU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvLTN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
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_dreftrsvUNU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/cblas_dcopy.c:46:10: warning: implicit declaration of function 'ATL_drefcopy' [-Wimplicit-function-declaration]
sklearn/src/cblas/cblas_dcopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvLNN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvUNN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvUTU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dtrsv.c
sklearn/src/cblas/cblas_dtrsv.c: In function 'cblas_dtrsv':
sklearn/src/cblas/cblas_dtrsv.c:73:7: warning: implicit declaration of function 'cblas_xerbla' [-Wimplicit-function-declaration]
sklearn/src/cblas/cblas_dtrsv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/cblas_scopy.c:46:10: warning: implicit declaration of function 'ATL_srefcopy' [-Wimplicit-function-declaration]
sklearn/src/cblas/cblas_scopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.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]
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit' [enabled by default]
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_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvLTN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvLTU.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dreftrsvUTN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_sreftrsvLNN.c
ar: adding 44 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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/__check_build
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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 -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -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.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/svm/libsvm.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/svm/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/svm/liblinear.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'void solve_l2r_l1l2_svr(const problem*, double*, const parameter*, int)':
sklearn/svm/src/liblinear/linear.cpp:1173:3: warning: 'Gnorm1_init' may be used uninitialized in this function [-Wuninitialized]
sklearn/svm/src/liblinear/linear.cpp: In function 'void train_one(const problem*, const parameter*, double*, double, double)':
sklearn/svm/src/liblinear/linear.cpp:1630:3: warning: 'Gnorm1_init' may be used uninitialized in this function [-Wuninitialized]
sklearn/svm/src/liblinear/linear.cpp:1426:9: note: 'Gnorm1_init' was declared here
c++: sklearn/svm/src/liblinear/tron.cpp
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -lblas -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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/svm/libsvm_sparse.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/datasets
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/datasets/_svmlight_format.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/feature_extraction
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/feature_extraction/_hashing.c:258:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.cluster._hierarchical' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/cluster
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_hierarchical.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/cluster/_hierarchical.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/cluster/_k_means.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/ensemble
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/ensemble/_gradient_boosting.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.utils.sparsetools._csgraph' extension
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils
creating build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools
compile options: '-D__STDC_FORMAT_MACROS=1 -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/sparsetools/csgraph_wrap.cxx
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/sparsetools/csgraph_wrap.cxx:2824:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/csgraph_wrap.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_csgraph.so
building 'sklearn.utils.arraybuilder' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arraybuilder.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/arraybuilder.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/arraybuilder.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/arraybuilder.so
building 'sklearn.utils.sparsefuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/sparsefuncs.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/arrayfuncs.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/murmurhash.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/src/MurmurHash3.cpp
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/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 -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/graph_shortest_path.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/seq_dataset.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/weight_vector.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/random.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/random.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/neighbors
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/neighbors/ball_tree.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/metrics
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/metrics/pairwise_fast.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/tree
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/tree/_tree.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.metrics/cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/metrics/cluster
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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._hmmc' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/_hmmc.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/_hmmc.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/_hmmc.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_hmmc.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/linear_model/cd_fast.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/linear_model/sgd_fast.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so
building 'sklearn.utils.sparsetools._csgraph' extension
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
compile options: '-D__STDC_FORMAT_MACROS=1 -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/sparsetools/csgraph_wrap.cxx
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/sparsetools/csgraph_wrap.cxx:2824:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/csgraph_wrap.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_csgraph.so
building 'sklearn.utils.arraybuilder' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arraybuilder.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/arraybuilder.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/arraybuilder.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/arraybuilder.so
building 'sklearn.utils.sparsefuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/sparsefuncs.c:257:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/arrayfuncs.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/murmurhash.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/src/MurmurHash3.cpp
c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/pymodules/python2.7/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 -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/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/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/graph_shortest_path.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/seq_dataset.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/weight_vector.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -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 -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/random.c
In file included from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarraytypes.h:1728:0,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/pymodules/python2.7/numpy/core/include/numpy/arrayobject.h:15,
from sklearn/utils/random.c:256:
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
/usr/lib/pymodules/python2.7/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: '_import_umath' defined but not used [-Wunused-function]
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-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
running scons
dh_auto_test -a -O--buildsystem=python_distutils
fakeroot debian/rules binary-arch
: # Explicit build system to avoid use of all-in-1 Makefile
dh binary-arch --buildsystem=python_distutils
dh_testroot -a -O--buildsystem=python_distutils
dh_prep -a -O--buildsystem=python_distutils
dh_installdirs -a -O--buildsystem=python_distutils
debian/rules override_dh_auto_install
make[1]: Entering directory `/«PKGBUILDDIR»'
python2.7 setup.py install --install-layout=deb --root=debian/python-sklearn
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['/usr/local/lib', '/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', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1504: 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.
warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1513: 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__)
blas_src_info:
NOT AVAILABLE
/usr/lib/pymodules/python2.7/numpy/distutils/system_info.py:1516: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
NOT AVAILABLE
sklearn/svm/setup.py:55: 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__)
sklearn/setup.py:64: 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 "blas" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.utils.sparsetools._csgraph" sources
building extension "sklearn.utils.arraybuilder" sources
building extension "sklearn.utils.sparsefuncs" 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.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils.random" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn._hmmc" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.utils.sparsetools._csgraph" sources
building extension "sklearn.utils.arraybuilder" sources
building extension "sklearn.utils.sparsefuncs" 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.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils.random" 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 scons
running install_lib
creating debian/python-sklearn
creating debian/python-sklearn/usr
creating debian/python-sklearn/usr/lib
creating debian/python-sklearn/usr/lib/python2.7
creating debian/python-sklearn/usr/lib/python2.7/dist-packages
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/_build_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/cross_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/dummy.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/grid_search.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/hmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/isotonic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_approximation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/lda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/naive_bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pipeline.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pls.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/qda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/random_projection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/test_setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/bounds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/classes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_bounds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_sparse.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_svm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/sparse
copying build/lib.linux-armv7l-2.7/sklearn/svm/sparse/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/sparse
copying build/lib.linux-armv7l-2.7/sklearn/svm/sparse/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/sparse
copying build/lib.linux-armv7l-2.7/sklearn/svm/sparse/classes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/sparse
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/california_housing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/covtype.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/lfw.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mlcomp.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mldata.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/olivetti_faces.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/samples_generator.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/species_distributions.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/svmlight_format.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/twenty_newsgroups.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_20news.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_covtype.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_lfw.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_mldata.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_samples_generator.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_svmlight_format.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/hashing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/image.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/stop_words.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/text.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/__init__.py -> debian/python-sklearn/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 -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_image.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_text.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_feature_agglomeration.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/affinity_propagation_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/dbscan_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/hierarchical.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/k_means_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/mean_shift_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/common.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_dbscan.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_hierarchical.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_k_means.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_mean_shift.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/empirical_covariance_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/graph_lasso_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/outlier_detection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/robust_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/shrunk_covariance_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_graph_lasso.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/dict_learning.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/factor_analysis.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/fastica_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/kernel_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/nmf.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/sparse_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_dict_learning.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_fastica.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_nmf.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/forest.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/gradient_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/partial_dependence.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_forest.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/rfe.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/selector_mixin.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/univariate_selection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_chi2.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_rfe.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_selector_mixin.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/csgraph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_csgraph.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_bench.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_extmath.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fixes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_murmurhash.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_random.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_shortest_path.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_testing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_csgraph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arpack.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/bench.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/class_weight.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/extmath.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fixes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/testing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arraybuilder.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/random.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/test_externals_setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-2.7/sklearn/externals/joblib/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/dpgmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_dpgmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/correlation_models.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gaussian_process.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/regression_models.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/__init__.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/classification.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/nearest_centroid.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/regression.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/unsupervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/isomap.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/locally_linear.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/mds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/spectral_embedding.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_pairwise.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/supervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/unsupervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/label_propagation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/tree.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_tree.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/coordinate_descent.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/least_angle.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/logistic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/omp.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/passive_aggressive.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/perceptron.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/randomized_l1.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ridge.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/stochastic_gradient.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_bayes.py -> debian/python-sklearn/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 -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_logistic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_omp.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_perceptron.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ridge.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sgd.py -> debian/python-sklearn/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 -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_check_build.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_common.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_cross_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_dummy.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_grid_search.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_hmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_init.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_isotonic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_approximation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_lda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_naive_bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pipeline.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pls.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_preprocessing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_qda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_random_projection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/_hmmc.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/_build_utils.py to _build_utils.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/hmm.py to hmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/lda.py to lda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pls.py to pls.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing.py to preprocessing.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py to qda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/test_setup.py to test_setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc
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byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_hmm.py to test_hmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_lda.py to test_lda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_pls.py to test_pls.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_preprocessing.py to test_preprocessing.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_qda.py to test_qda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc
running install_data
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/diabetes_target.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/flower.jpg -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/diabetes.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing debian/python-sklearn/usr/lib/python2.7/dist-packages/scikit_learn-0.13.1.egg-info
running install_clib
: # Run unittests here against installed scikits.learn
export PYTHONPATH=`/bin/ls -d $PWD/debian/python-sklearn/usr/lib/python2.7/*/`; \
export MPLCONFIGDIR=/«PKGBUILDDIR»/build HOME=/«PKGBUILDDIR»/build; \
export JOBLIB_MULTIPROCESSING=0; \
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
Affinity Propagation algorithm ... ok
Tests the DBSCAN algorithm with a similarity array. ... ok
Tests the DBSCAN algorithm with a feature vector array. ... ok
Tests the DBSCAN algorithm with a callable metric. ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
Check that we obtain the correct solution for structured ward tree. ... ok
Check that we obtain the correct solution for unstructured ward tree. ... ok
Check that the height of ward tree is sorted. ... ok
Check that we obtain the correct number of clusters with Ward clustering. ... ok
Check that we obtain the correct solution in a simplistic case ... ok
Test scikit ward with full connectivity (i.e. unstructured) vs scipy ... ok
Check that connectivity in the ward tree is propagated correctly during ... ok
Check non regression of a bug if a non item assignable connectivity is ... ok
sklearn.cluster.tests.test_k_means.test_square_norms ... ok
sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignement_and_inertia ... ok
Check that dense and sparse minibatch update give the same results ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_check_fitted ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... 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_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_perfect_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... 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
Check if copy_x=False returns nearly equal X after de-centering. ... ok
Check k_means with a bad initialization does not yield a singleton ... 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_input_dtypes ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
Check that increasing the number of init increases the quality ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
Test MeanShift algorithm ... ok
Test the bin seeding technique which can be used in the mean shift ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok
sklearn.cluster.tests.test_spectral.test_spectral_lobpcg_mode ... 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 ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding.py:225: UserWarning: Graph is not fully connected, spectral embedding may not works as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
sklearn.cluster.tests.test_spectral.test_discretize ... ok
Tests Covariance module on a simple dataset. ... ok
Tests ShrunkCovariance module on a simple dataset. ... ok
Tests LedoitWolf module on a simple dataset. ... ok
Tests OAS module on a simple dataset. ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:45: RuntimeWarning: invalid value encountered in absolute
gap += alpha * (np.abs(precision_).sum()
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:46: RuntimeWarning: invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/usr/lib/pymodules/python2.7/numpy/linalg/linalg.py:1664: RuntimeWarning: invalid value encountered in absolute
absd = absolute(d)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:32: RuntimeWarning: invalid value encountered in absolute
cost += alpha * (np.abs(precision_).sum()
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:33: RuntimeWarning: invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:195: RuntimeWarning: invalid value encountered in absolute
if np.abs(d_gap) < tol:
ok
Tests the FastMCD algorithm implementation ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok
sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok
sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP
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_deprecated_load_filenames ... ok
sklearn.datasets.tests.test_base.test_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_charset ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:124: 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/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:145: 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/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:161: 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_boston ... ok
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP
SKIP
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_samples_generator.test_make_classification ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification ... 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_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_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... 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_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 ... SKIP
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok
Test FactorAnalysis ability to recover the data covariance structure ... ok
Test gram schmidt orthonormalization ... ok
Test the FastICA algorithm on very simple data. ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
Test the FastICA algorithm on very simple data. ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... 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_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
Test the linear separability of the first 2D KPCA transform ... ok
Test NNDSVD behaviour on negative input ... ok
Test that NNDSVD does not return negative values ... ok
Test NNDSVD error ... ok
Test NNDSVD variants correctness ... ok
Test model fit behaviour on negative input ... ok
Test that the decomposition does not contain negative values ... ok
Test that the fit is not too far away ... ok
Test NLS solver's behaviour on negative input ... ok
Test that NLS solver doesn't return negative values ... ok
Test that the NLS results should be close ... ok
Test that NMF.transform returns close values ... ok
Smoke test for the case of more components than features. ... ok
Test sparseness ... ok
Test that sparse matrices are accepted as input ... ok
PCA on dense arrays ... ok
Check that PCA output has unit-variance ... ok
Test that the projection of data is correct ... ok
Test that the projection of data can be inverted ... ok
Test that the projection by RandomizedPCA on dense data is correct ... ok
Test that the projection by RandomizedPCA on list data is correct ... ok
Test that RandomizedPCA is inversible on dense data ... ok
Test that the projection by RandomizedPCA on sparse data is correct ... ok
Test that RandomizedPCA is inversible on sparse data ... ok
Check automated dimensionality setting ... ok
TODO: explain what this is testing ... ok
TODO: explain what this is testing ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
Test that probabilistic PCA yields a reasonable score ... ok
Test that probabilistic PCA correctly separated different datasets ... ok
The homoscedastic model should work slightly worth ... ok
Check that ppca select the right model ... ok
sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok
Test that SparsePCA won't return NaN when there is 0 feature in all ... 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
Check BaseEnsemble methods. ... ok
Check that proper errors are triggered. ... ok
Check classification on a toy dataset. ... ok
Check consistency on dataset iris. ... ok
Check consistency on dataset boston house prices. ... ok
Predict probabilities. ... ok
Check variable importances. ... ok
Check that oob prediction is a good estimation of the generalization ... ok
Check that oob prediction is pessimistic estimate. ... ok
Check that base trees can be grid-searched. ... ok
Check parallel computations. ... ok
Check pickability. ... ok
Check estimators on multi-output problems. ... ok
Test that n_classes_ and classes_ have proper shape. ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... ok
Check classification on a toy dataset. ... ok
Check input parameter validation. ... ok
Test GradientBoostingClassifier on synthetic dataset used by ... ok
Check consistency on dataset boston house prices with least squares ... ok
Check consistency on dataset iris. ... ok
Test on synthetic regression datasets used in Leo Breiman, ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
Predict probabilities. ... ok
Test input checks (shape and type of X and y). ... ok
X has wrong shape ... ok
test if max_features is valid. ... ok
Test to make sure random state is set properly. ... ok
Test whether staged decision function eventually gives ... ok
Test whether staged predict proba eventually gives ... ok
Check model serialization. ... ok
Check if we can fit even though all targets are equal. ... ok
Check if quantile loss with alpha=0.5 equals lad. ... ok
Test with non-integer class labels. ... ok
Test with float class labels. ... ok
Test with float class labels. ... ok
Test with different memory layouts of X and y ... ok
Check if min_density is properly set when growing deep trees. ... ok
Test partial dependence for classifier ... ok
Test partial dependence for multi-class classifier ... ok
Test partial dependence for regressor ... ok
Test input validation of partial dependence. ... ok
Test partial dependence plot function. ... SKIP: Matplotlib not available.
Test partial dependence plot function input checks. ... SKIP: Matplotlib not available.
Test partial dependence plot function on multi-class input. ... SKIP: Matplotlib not available.
sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py:327: UserWarning: Duplicate scores. Result may depend on feature ordering.There are probably duplicate features, or you used a classification score for a regression task.
warn("Duplicate scores. Result may depend on feature ordering."
ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_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_hash_empty_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok
Test delayed input validation in fit (useful for grid search). ... 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_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_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 ... ok
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_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_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_pickling_transformer ... ok
Test Chi2 feature extraction ... ok
Check that chi2 works with a COO matrix ... ok
Check for proper error on negative numbers in the input X. ... ok
Test that our f_oneway gives the same result as scipy.stats ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
Test whether the F test yields meaningful results ... ok
Test whether the F test yields meaningful results ... ok
Test whether f_regression returns the same value ... ok
Test whether the F test yields meaningful results ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether SelectKBest actually selects k features in case of ties. ... ok
Test if SelectPercentile selects the right n_features in case of ties. ... ok
Test whether k-best and percentiles work with tied pvalues from chi2. ... ok
Assert that SelectKBest and SelectPercentile can handle NaNs. ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py:109: RuntimeWarning: invalid value encountered in divide
f = msb / msw
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py:112: RuntimeWarning: invalid value encountered in fdtrc
prob = stats.fprob(dfbn, dfwn, f)
ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok
sklearn.feature_selection.tests.test_selector_mixin.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_selector_mixin.test_invalid_input ... ok
MLE estimation of a one-dimensional Gaussian Process model. ... ok
MLE estimation of a two-dimensional Gaussian Process model accounting for ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
Repeat test_1d and test_2d for several built-in correlation ... ok
Repeat test_1d and test_2d with given regression weights (beta0) for ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
Test LinearRegression on a simple dataset. ... ok
Test assertions on betas shape. ... ok
Test that linear regression also works with sparse data ... ok
Test multiple-outcome linear regressions ... ok
Test multiple-outcome linear regressions with sparse data ... ok
Test BayesianRidge on diabetes ... SKIP: XFailed Test
Test BayesianRidge on toy ... ok
Test BayesianRegression ARD classifier ... ok
Check that the lasso can handle zero data without crashing ... ok
Test Lasso on a toy example for various values of alpha. ... ok
Test ElasticNet for various parameters of alpha and l1_ratio. ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path ... 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_multi_task_lasso_and_enet ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok
Principle of Lars is to keep covariances tied and decreasing ... ok
The same, with precomputed Gram matrix ... ok
Test that lars_path with precomputed Gram and Xy gives the right answer ... ok
Test that Lars gives least square solution at the end ... ok
Test that Lars Lasso gives least square solution at the end ... ok
Check that lars_path is robust to collinearity in input ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py:233: UserWarning: Regressors in active set degenerate. Dropping a regressor, after 2 iterations, i.e. alpha=7.698e-02, with an active set of 2 regressors, and the smallest cholesky pivot element being 8.429e-08
% (n_iter, alpha, n_active, diag))
ok
Test that the ``return_path=False`` option returns the correct output ... ok
Test that the ``return_path=False`` option with Gram remains correct ... ok
Test that the ``return_path=False`` option with Gram and Xy remains correct ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
Test that LassoLars and Lasso using coordinate descent give the ... ok
Test that LassoLars and Lasso using coordinate descent give the ... 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_lars_drop_for_good ... ok
assure that at least some features get added if necessary ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
Assure that estimators receiving multidimensional y do the right thing ... ok
Test the LassoLarsCV object by checking that the optimal alpha ... ok
Test the LassoLarsIC object by checking that ... ok
Simple sanity check on a 2 classes dataset ... ok
Test for appropriate exception on errors ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
Test logisic regression with the iris dataset ... ok
Test that an exception is raised on inconsistent input ... ok
Test that we can write to coef_ and intercept_ ... ok
Test proper NaN handling. ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_random_state ... 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 ... 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_scaling_with_gram ... 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_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_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... 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
Check lasso stability path ... ok
Check randomized lasso ... ok
Check randomized sparse logistic regression ... ok
Check randomized sparse logistic regression on sparse data ... ok
Ridge regression convergence test using score ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok
Test shape of coef_ and intercept_ ... ok
Test intercept with multiple targets GH issue #708 ... ok
Test BayesianRegression ridge classifier ... ok
On alpha=0., Ridge and OLS yield the same solution. ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse ... ok
Test class weights. ... ok
Test class weights for cross validated ridge classifier. ... ok
Test _RidgeCV's store_cv_values attribute. ... ok
Checks coef_init not allowed as model argument (only fit) ... ok
Test class weights for imbalanced data ... ok
Test class weights. ... ok
Test whether clone works ok. ... ok
Test if equal class weights approx. equals no class weights. ... ok
Input format tests. ... ok
Test multiple calls of fit w/ different shaped inputs. ... 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
Checks coef_init shape for the warm starts ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
Test weights on individual samples ... ok
Checks coef_init and intercept_init shape for for multi-class ... ok
Checks intercept_ shape for the warm starts ... ok
Checks intercept_ shape for the warm starts in binary case ... ok
Checks intercept_ shape consistency for the warm starts ... ok
Check that SGD gives any results :-) ... ok
Target must have at least two labels ... ok
Check whether expected ValueError on bad alpha ... ok
Check whether expected ValueError on bad eta0 ... ok
Check whether expected ValueError on bad l1_ratio ... ok
Check whether expected ValueError on bad learning_rate ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... ok
Test L1 regularization ... ok
Multi-class test case ... ok
Multi-class test case with multi-core support ... ok
Multi-class test case ... ok
Test parameter validity check ... ok
Check SGD.predict_proba ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:707: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
Test parameter validity check ... 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_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
ValueError due to wrong class_weight argument type. ... ok
ValueError due to not existing class label. ... ok
Test if ValueError is raised if sample_weight has wrong shape ... ok
Check that the SGD ouput is consistent with coordinate descent ... 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
Check that SGD gives any results. ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... 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
Checks coef_init not allowed as model argument (only fit) ... ok
Test class weights for imbalanced data ... ok
Test class weights. ... ok
Test whether clone works ok. ... ok
Test if equal class weights approx. equals no class weights. ... ok
Input format tests. ... ok
Test multiple calls of fit w/ different shaped inputs. ... 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
Checks coef_init shape for the warm starts ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
Test weights on individual samples ... ok
Checks coef_init and intercept_init shape for for multi-class ... ok
Checks intercept_ shape for the warm starts ... ok
Checks intercept_ shape for the warm starts in binary case ... ok
Checks intercept_ shape consistency for the warm starts ... ok
Check that SGD gives any results :-) ... ok
Target must have at least two labels ... ok
Check whether expected ValueError on bad alpha ... ok
Check whether expected ValueError on bad eta0 ... ok
Check whether expected ValueError on bad l1_ratio ... ok
Check whether expected ValueError on bad learning_rate ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... ok
Test L1 regularization ... ok
Multi-class test case ... ok
Multi-class test case with multi-core support ... ok
Multi-class test case ... ok
Test parameter validity check ... ok
Check SGD.predict_proba ... ok
Test parameter validity check ... 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_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
ValueError due to wrong class_weight argument type. ... ok
ValueError due to not existing class label. ... ok
Test if ValueError is raised if sample_weight has wrong shape ... ok
Check that the SGD ouput is consistent with coordinate descent ... 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
Check that SGD gives any results. ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... 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
Check that the sparse_coef propery works ... ok
Check that the normalize option in enet works ... ok
Check that the sparse lasso can handle zero data without crashing ... ok
Test ElasticNet for various values of alpha and l1_ratio with list X ... ok
Test ElasticNet for various values of alpha and l1_ratio with sparse ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py:104: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator
clf.fit(X, Y)
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 ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:666: UserWarning: precompute is ignored for sparse data
warnings.warn("precompute is ignored for sparse data")
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:288: UserWarning: Objective did not converge for target 0, you might want to increase the number of iterations
' to increase the number of iterations')
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
Check that adjusted scores are almost zero on random labels ... ok
Compute the Adjusted Mutual Information and test against known values ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
Check numerical stabability when information is exactly zero ... ok
Check relation between v_measure, entropy and mutual information ... ok
Tests the Silhouette Coefficient. ... ok
Assert Silhouette Coefficient != nan when there is 1 sample in a class. ... /usr/lib/pymodules/python2.7/numpy/core/_methods.py:57: RuntimeWarning: invalid value encountered in double_scalars
ret = ret / float(rcount)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py:149: RuntimeWarning: invalid value encountered in maximum
sil_samples = (B - A) / np.maximum(A, B)
ok
Test Area under Receiver Operating Characteristic (ROC) curve ... ok
sklearn.metrics.tests.test_metrics.test_roc_curve_end_points ... ok
Test whether the returned threshold matches up with tpr ... ok
roc_curve not applicable for multi-class problems ... ok
roc_curve for confidence scores ... ok
roc_curve for hard decisions ... ok
Test Area Under Curve (AUC) computation ... ok
sklearn.metrics.tests.test_metrics.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_metrics.test_auc_errors ... ok
Test Precision Recall and F1 Score for binary classification task ... ok
sklearn.metrics.tests.test_metrics.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_metrics.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_fscore_support_errors ... ok
Test confusion matrix - binary classification case ... ok
sklearn.metrics.tests.test_metrics.test_matthews_corrcoef_nan ... ok
Test Precision Recall and F1 Score for multiclass classification task ... ok
Test Precision Recall and F1 Score for multiclass classification task ... ok
Check that pathological cases do not bring NaNs ... ok
Test confusion matrix - multi-class case ... ok
Test confusion matrix - multi-class case with subset of labels ... ok
Test performance report ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_metrics.test_score_scale_invariance ... ok
Test loss functions ... ok
sklearn.metrics.tests.test_metrics.test_losses_at_limits ... ok
sklearn.metrics.tests.test_metrics.test_r2_one_case_error ... ok
Test the symmetry of score and loss functions ... ok
sklearn.metrics.tests.test_metrics.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_metrics.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_regression ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
Test the pairwise_distance helper function. ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel ... ok
Test the pairwise_kernels helper function. ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
Check the pairwise Euclidean distances computation ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
Valid kernels should be symmetric ... 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
Test the cosine_similarity. ... ok
Ensure that pairwise array check works for dense matrices. ... ok
Ensure that if XA and XB are given correctly, they return as equal. ... ok
Ensure an error is raised if the dimensions are different. ... ok
Ensure an error is raised on 1D input arrays. ... ok
Ensures that checks return valid sparse matrices. ... ok
Ensures that checks return valid tuples. ... 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/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:244: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:42: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:307: 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) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
Test sample generation from mixture.sample_gaussian where covariance ... ok
test a slow and naive implementation of lmvnpdf and ... 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_GMM_attributes ... ok
Test that multiple inits does not much worse than a single one ... ok
Test that the right number of parameters is estimated ... ok
Test the aic and bic criteria ... ok
Test l1_min_c loss='l2' dense multi-class no-intercept ... ok
Test l1_min_c loss='l2' dense multi-class fit-intercept ... ok
Test l1_min_c loss='l2' dense two-classes no-intercept ... ok
Test l1_min_c loss='l2' dense two-classes fit-intercept ... ok
Test l1_min_c loss='l2' sparse multi-class no-intercept ... ok
Test l1_min_c loss='l2' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='l2' sparse two-classes no-intercept ... ok
Test l1_min_c loss='l2' 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
Test the sparse SVC with the iris dataset ... ok
Test that it gives proper exception on deficient input ... ok
Similar to test_SVC ... ok
Test the sparse LinearSVC with the iris dataset ... ok
Test class weights ... ok
Test weights on individual samples ... ok
Test that sparse liblinear honours intercept_scaling param ... ok
Test on a subset from the 20newsgroups dataset. ... ok
sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_sparse.test_timeout ... ok
Test parameters on classes that make use of libsvm. ... ok
Check consistency on dataset iris. ... ok
Test whether SVCs work on a single sample given as a 1-d array ... ok
SVC with a precomputed kernel. ... ok
Test Support Vector Regression ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
Test OneClassSVM ... ok
Test OneClassSVM decision function ... ok
Make sure some tweaking of parameters works. ... ok
Predict probabilities using SVC ... ok
Test decision_function ... ok
Test class weights ... ok
Test weights on individual samples ... ok
Test class weights for imbalanced data ... ok
Test that it gives proper exception on deficient input ... ok
Test possible parameter combinations in LinearSVC ... ok
Test basic routines using LinearSVC ... ok
Test LinearSVC with crammer_singer multi-class svm ... ok
Test that LinearSVC gives plausible predictions on the iris dataset ... ok
Test that dense liblinear honours intercept_scaling param ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
Check that primal coef modification are not silently ignored ... ok
sklearn.svm.tests.test_svm.test_inheritance ... 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
Check classification on a toy dataset. ... ok
Check classification on a weighted toy dataset. ... ok
Check regression on a toy dataset. ... ok
Check on a XOR problem ... ok
Check correctness of graphviz output on a toy dataset. ... ok
Check consistency on dataset iris. ... ok
Check consistency on dataset boston house prices. ... ok
Predict probabilities using DecisionTreeClassifier. ... ok
Check the array representation. ... ok
Check when y is pure. ... ok
Check numerical stability. ... ok
Check variable importances. ... ok
Test that it gives proper exception on deficient input. ... ok
Test if leaves contain more than leaf_count training examples ... ok
sklearn.tree.tests.test_tree.test_pickle ... ok
Check estimators on multi-output problems. ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:618: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
Test sample_mask argument. ... ok
Test X_argsorted argument. ... ok
Test that n_classes_ and classes_ have proper shape. ... ok
Check class rebalancing. ... ok
Check sample weighting. ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... 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
Check that extmath.randomized_svd is consistent with linalg.svd ... ok
Check that extmath.randomized_svd can handle noisy matrices ... ok
Check that extmath.randomized_svd can handle noisy matrices ... ok
Check that transposing the design matrix has limit impact ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
Check if cartesian product delivers the right results ... ok
sklearn.utils.tests.test_fixes.test_in1d ... ok
sklearn.utils.tests.test_fixes.test_copysign ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... 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_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... 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_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
Check the check_random_state utility function behavior ... ok
Border case not worth mentioning in doctests ... ok
Test whether the deprecated decorator issues appropriate warnings ... ok
Check that invalid arguments yield ValueError ... 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
Test function for as_float_array ... ok
Check that invalid arguments raise appropriate exceptions ... ok
Confirm that input validation code does not return np.matrix ... ok
Confirm that input validation code doesn't copy memory mapped arrays ... ok
sklearn.utils.tests.test_validation.test_ordering ... ok
sklearn.utils.tests.test_validation.test_check_arrays ... ok
Tests that clone creates a correct deep copy. ... ok
Tests that clone doesn't copy everything. ... ok
Check that clone raises an error on buggy estimators. ... ok
Regression test for cloning estimators with empty arrays ... ok
Smoke test the repr of the base estimator. ... ok
Smoke test the str of the base estimator ... ok
sklearn.tests.test_base.test_get_params ... ok
sklearn.tests.test_base.test_is_classifier ... ok
sklearn.tests.test_base.test_set_params ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimators ... ok
sklearn.tests.test_common.test_estimators_sparse_data ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:118: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_transformers ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pls.py:284: UserWarning: X scores are null at iteration 1
warnings.warn('X scores are null at iteration %s' % k)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:423: 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
sklearn.tests.test_common.test_transformers_sparse_data ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding.py:410: UserWarning: Nearest neighbors affinity currently does not support sparse input, falling back to rbf affinity
warnings.warn("Nearest neighbors affinity currently does "
ok
sklearn.tests.test_common.test_estimators_nan_inf ... ok
sklearn.tests.test_common.test_classifiers_one_label ... ok
sklearn.tests.test_common.test_clustering ... ok
sklearn.tests.test_common.test_classifiers_train ... ok
sklearn.tests.test_common.test_classifiers_classes ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py:131: NeighborsWarning: kneighbors: neighbor k+1 and neighbor k have the same distance: results will be dependent on data order.
neigh_dist, neigh_ind = self.kneighbors(X)
ok
sklearn.tests.test_common.test_regressors_int ... ok
sklearn.tests.test_common.test_regressors_train ... ok
sklearn.tests.test_common.test_configure ... ok
sklearn.tests.test_common.test_class_weight_classifiers ... ok
sklearn.tests.test_common.test_class_weight_auto_classifies ... ok
sklearn.tests.test_common.test_estimators_overwrite_params ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1180: RuntimeWarning: init_size=3 should be larger than k=8. Setting it to 3*k
init_size=init_size)
ok
sklearn.tests.test_common.test_cluster_overwrite_params ... 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_shuffle_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_iter_no_indices ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... 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.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_mask ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok
sklearn.tests.test_cross_validation.test_bootstrap_errors ... ok
sklearn.tests.test_cross_validation.test_bootstrap_test_sizes ... 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_cross_indices_exception ... ok
sklearn.tests.test_dummy.test_most_frequent_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_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_regressor ... ok
sklearn.tests.test_dummy.test_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_regressor_exceptions ... ok
Test that the best estimator contains the right value for foo_param ... [Parallel(n_jobs=1)]: Done 1 jobs | elapsed: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
Test that grid search can be used for model selection only ... ok
Test that grid search will capture errors on data with different ... 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
Test that grid search works with both dense and sparse matrices ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_score_func ... ok
Test that grid search works when the input features are given in the ... ok
Test that grid search returns an error with a non-square precomputed ... ok
Test that grid search returns an error when using a kernel_function ... ok
Regression test for bug in refitting ... ok
Pass X as list in GridSearchCV ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok
sklearn.tests.test_grid_search.test_bad_estimator ... ok
test_attributes (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_decode_map_algorithm (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_eval (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_fit (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_fit_emissionprob (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_fit_with_init (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_predict (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_sample (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_set_emissionprob (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_wikipedia_viterbi_example (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_base_hmm_attributes (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_backward_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_forward_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_viterbi_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_eval (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_hmm_decode_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_hmm_eval_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_init (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_set_startprob (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_set_transmat (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_means (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_startprob_and_transmat (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_startprob_and_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_eval_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
sklearn.tests.test_hmm.test_normalize_1D ... ok
sklearn.tests.test_hmm.test_normalize_3D ... ok
Test either above import has failed for some reason ... ok
sklearn.tests.test_isotonic.test_isotonic_regression ... ok
sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok
test that AdditiveChi2Sampler approximates kernel on random data ... ok
test that RBFSampler approximates kernel on random data ... ok
test that RBFSampler approximates kernel on random data ... ok
Regression test: kernel approx. transformers should work on lists ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:181: DeprecationWarning: Implicitly casting between incompatible kinds. In a future numpy release, this will raise an error. Use casting="unsafe" if this is intentional.
X += self.skewedness
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:182: DeprecationWarning: Implicitly casting between incompatible kinds. In a future numpy release, this will raise an error. Use casting="unsafe" if this is intentional.
np.log(X, X)
ok
sklearn.tests.test_kernel_approximation.test_nystrom_approximation ... ok
LDA classification. ... ok
sklearn.tests.test_lda.test_lda_transform ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovr_always_present ... 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_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_predict ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... 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
Gaussian Naive Bayes classification. ... ok
Test whether class priors are properly set. ... ok
Test whether class priors are properly set. ... ok
Multinomial Naive Bayes classification. ... ok
Test picklability of discrete naive Bayes classifiers ... ok
Test input checks ... ok
Test discrete NB classes' probability scores ... ok
Test whether discrete NB classes fit a uniform prior ... ok
Test whether discrete NB classes use provided prior ... ok
sklearn.tests.test_naive_bayes.test_sample_weight ... ok
Test the various init parameters of the pipeline. ... ok
Test the various methods of the pipeline (anova). ... ok
Test that the pipeline can take fit parameters ... ok
Test the various methods of the pipeline (pca + svm). ... ok
Test the various methods of the pipeline (preprocessing + svm). ... ok
sklearn.tests.test_pipeline.test_feature_union ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok
sklearn.tests.test_pipeline.test_feature_union_weights ... ok
sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok
sklearn.tests.test_pls.test_pls ... ok
sklearn.tests.test_pls.test_scale ... ok
Test scaling of dataset along single axis ... ok
Test scaling of 2d array along first axis ... ok
sklearn.tests.test_preprocessing.test_min_max_scaler_iris ... ok
Check min max scaler on toy data with zero variance features ... ok
sklearn.tests.test_preprocessing.test_scaler_without_centering ... ok
Check that StandardScaler.fit does not change input ... ok
sklearn.tests.test_preprocessing.test_scale_sparse_with_mean_raise_exception ... ok
sklearn.tests.test_preprocessing.test_scale_function_without_centering ... ok
Check warning when scaling integer data ... ok
sklearn.tests.test_preprocessing.test_normalizer_l1 ... ok
sklearn.tests.test_preprocessing.test_normalizer_l2 ... ok
Check that invalid arguments yield ValueError ... ok
sklearn.tests.test_preprocessing.test_binarizer ... ok
sklearn.tests.test_preprocessing.test_label_binarizer ... ok
sklearn.tests.test_preprocessing.test_label_binarizer_set_label_encoding ... ok
sklearn.tests.test_preprocessing.test_label_binarizer_multilabel ... ok
Check that invalid arguments yield ValueError ... ok
Test OneHotEncoder's fit and transform. ... ok
Test LabelEncoder's transform and inverse_transform methods ... ok
Test fit_transform ... ok
Test LabelEncoder's transform and inverse_transform methods with ... ok
Check that invalid arguments yield ValueError ... ok
sklearn.tests.test_preprocessing.test_label_binarizer_iris ... ok
Check that LabelBinarizer can handle an unlabeled sample ... ok
Test that KernelCenterer is equivalent to StandardScaler ... ok
sklearn.tests.test_preprocessing.test_fit_transform ... ok
sklearn.tests.test_preprocessing.test_add_dummy_feature ... ok
sklearn.tests.test_preprocessing.test_add_dummy_feature_coo ... ok
sklearn.tests.test_preprocessing.test_add_dummy_feature_csc ... ok
sklearn.tests.test_preprocessing.test_add_dummy_feature_csr ... ok
sklearn.tests.test_preprocessing.test_balance_weights ... ok
QDA classification. ... ok
sklearn.tests.test_qda.test_qda_priors ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:164: RuntimeWarning: divide by zero encountered in log
+ np.log(self.priors_))
ok
sklearn.tests.test_qda.test_qda_store_covariances ... ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
Check basic properties of random matrix generation ... ok
Check some statical properties of Gaussian random matrix ... ok
Check some statical properties of 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
----------------------------------------------------------------------
Ran 1042 tests in 722.016s
OK (SKIP=15)
----------------------------------------------------------------------
Ran 0 tests in 0.551s
OK
: # Explicit build system to avoid use of all-in-1 Makefile
dh override_dh_auto_install --buildsystem=python_distutils
make[1]: Leaving directory `/«PKGBUILDDIR»'
dh_install -a -O--buildsystem=python_distutils
debian/rules override_dh_installdocs
make[1]: Entering directory `/«PKGBUILDDIR»'
: # Build Documentation using installed scikits.learn
: # not building documentation in -a
: # Use jquery from Debian package, so prune shipped one
rm doc/_build/html/_static/jquery.js
rm: cannot remove `doc/_build/html/_static/jquery.js': No such file or directory
make[1]: [override_dh_installdocs] Error 1 (ignored)
dh_installdocs -A AUTHORS.rst README*.rst
make[1]: Leaving directory `/«PKGBUILDDIR»'
debian/rules override_dh_installchangelogs
make[1]: Entering directory `/«PKGBUILDDIR»'
dh_installchangelogs doc/whats_new.rst
make[1]: Leaving directory `/«PKGBUILDDIR»'
dh_installexamples -a -O--buildsystem=python_distutils
dh_installman -a -O--buildsystem=python_distutils
dh_installcatalogs -a -O--buildsystem=python_distutils
dh_installcron -a -O--buildsystem=python_distutils
dh_installdebconf -a -O--buildsystem=python_distutils
dh_installemacsen -a -O--buildsystem=python_distutils
dh_installifupdown -a -O--buildsystem=python_distutils
dh_installinfo -a -O--buildsystem=python_distutils
debian/rules override_dh_pysupport
make[1]: Entering directory `/«PKGBUILDDIR»'
: # Move platform-specific libraries into -lib
set -e; \
for lib in $(find debian/python-sklearn/usr -name '*.so'); do \
sdir=$(dirname $lib) ; \
tdir=debian/python-sklearn-lib/${sdir#*python-sklearn/} ; \
mkdir -p $tdir ; \
echo "Moving '$lib' into '$tdir'." ; \
mv $lib $tdir ; \
done
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/__check_build'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/liblinear.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm_sparse.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/datasets'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/feature_extraction'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/ensemble'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/_csgraph.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/arraybuilder.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/arrayfuncs.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/murmurhash.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/lgamma.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/graph_shortest_path.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/seq_dataset.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/weight_vector.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/random.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors/ball_tree.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise_fast.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/_tree.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/_hmmc.so' into 'debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn'.
if [ -x /usr/bin/dh_numpy ]; then dh_numpy -ppython-sklearn-lib; fi
: # Prune scikits/__init__.py to avoid conflicts
find debian -wholename \*scikits/__init__.py -delete
: # Move scikits. space into a compatibility package
set -e; \
find debian -wholename \*scikits -type d | while read skd; do \
skbd=$(dirname $skd); \
skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \
mkdir -p $skbd_; \
mv $skd $skbd_; \
done
dh_pysupport
dh_pysupport: This program is deprecated, you should use dh_python2 instead. Migration guide: http://deb.li/dhs2p
make[1]: Leaving directory `/«PKGBUILDDIR»'
dh_installinit -a -O--buildsystem=python_distutils
dh_installmenu -a -O--buildsystem=python_distutils
dh_installmime -a -O--buildsystem=python_distutils
dh_installmodules -a -O--buildsystem=python_distutils
dh_installlogcheck -a -O--buildsystem=python_distutils
dh_installlogrotate -a -O--buildsystem=python_distutils
dh_installpam -a -O--buildsystem=python_distutils
dh_installppp -a -O--buildsystem=python_distutils
dh_installudev -a -O--buildsystem=python_distutils
dh_installwm -a -O--buildsystem=python_distutils
dh_installxfonts -a -O--buildsystem=python_distutils
dh_installgsettings -a -O--buildsystem=python_distutils
dh_bugfiles -a -O--buildsystem=python_distutils
dh_ucf -a -O--buildsystem=python_distutils
dh_lintian -a -O--buildsystem=python_distutils
dh_gconf -a -O--buildsystem=python_distutils
dh_icons -a -O--buildsystem=python_distutils
dh_perl -a -O--buildsystem=python_distutils
dh_usrlocal -a -O--buildsystem=python_distutils
dh_link -a -O--buildsystem=python_distutils
debian/rules override_dh_compress
make[1]: Entering directory `/«PKGBUILDDIR»'
dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -Xobjects.inv
make[1]: Leaving directory `/«PKGBUILDDIR»'
dh_fixperms -a -O--buildsystem=python_distutils
dh_strip -a -O--buildsystem=python_distutils
dh_makeshlibs -a -O--buildsystem=python_distutils
dh_shlibdeps -a -O--buildsystem=python_distutils
dh_installdeb -a -O--buildsystem=python_distutils
dh_gencontrol -a -O--buildsystem=python_distutils
dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe
dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions}
dh_md5sums -a -O--buildsystem=python_distutils
dh_builddeb -a -O--buildsystem=python_distutils
dpkg-deb: building package `python-sklearn-lib' in `../python-sklearn-lib_0.13.1-1_armhf.deb'.
dpkg-genchanges -B -mRaspbian nitrogen6x test autobuilder <root@raspbian.org> >../scikit-learn_0.13.1-1_armhf.changes
dpkg-genchanges: arch-specific upload - not including arch-independent packages
dpkg-genchanges: binary-only upload - not including any source code
dpkg-source --after-build scikit-learn-0.13.1
dpkg-buildpackage: binary only upload (no source included)
────────────────────────────────────────────────────────────────────────────────
Build finished at 20130618-0442
Finished
────────
I: Built successfully
┌──────────────────────────────────────────────────────────────────────────────┐
│ Changes │
└──────────────────────────────────────────────────────────────────────────────┘
scikit-learn_0.13.1-1_armhf.changes:
────────────────────────────────────
Format: 1.8
Date: Sat, 01 Jun 2013 11:36:44 -0400
Source: scikit-learn
Binary: python-sklearn python-sklearn-doc python-sklearn-lib python-scikits-learn
Architecture: armhf
Version: 0.13.1-1
Distribution: jessie-staging
Urgency: low
Maintainer: Raspbian nitrogen6x test autobuilder <root@raspbian.org>
Changed-By: Yaroslav Halchenko <debian@onerussian.com>
Description:
python-scikits-learn - transitional compatibility package for scikits.learn -> sklearn m
python-sklearn - Python modules for machine learning and data mining
python-sklearn-doc - documentation and examples for scikit-learn
python-sklearn-lib - low-level implementations and bindings for scikit-learn
Changes:
scikit-learn (0.13.1-1) unstable; urgency=low
.
* "Fresh" bugfix release:
- dropping all cherry picked changesets
Checksums-Sha1:
56b2c750aa87abb8a4ea28c5665f4b2d8330c113 983376 python-sklearn-lib_0.13.1-1_armhf.deb
Checksums-Sha256:
6d0942c58a0e91aeb67eb933623480fd8021c2e70fa8cc395cdb799900bfcdc8 983376 python-sklearn-lib_0.13.1-1_armhf.deb
Files:
50289998be8316288788d67e2e3ba7f2 983376 python optional python-sklearn-lib_0.13.1-1_armhf.deb
┌──────────────────────────────────────────────────────────────────────────────┐
│ Package contents │
└──────────────────────────────────────────────────────────────────────────────┘
python-sklearn-lib_0.13.1-1_armhf.deb
─────────────────────────────────────
new debian package, version 2.0.
size 983376 bytes: control archive=1842 bytes.
732 bytes, 17 lines control
2964 bytes, 33 lines md5sums
195 bytes, 7 lines * postinst #!/bin/sh
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Package: python-sklearn-lib
Source: scikit-learn
Version: 0.13.1-1
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 2333
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.4.0), libstdc++6 (>= 4.4.0), python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.7-0~b1), python-numpy-abi9, python-support (>= 0.90.0)
Conflicts: python-scikits-learn-lib
Replaces: python-scikits-learn-lib
Provides: python2.7-sklearn-lib
Section: python
Priority: optional
Homepage: http://scikit-learn.sourceforge.net
Description: low-level implementations and bindings for scikit-learn
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.
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drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/share/doc/
drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/share/doc/python-sklearn-lib/
-rw-r--r-- root/root 2041 2013-06-01 15:31 ./usr/share/doc/python-sklearn-lib/AUTHORS.rst
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drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/lib/pyshared/
drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/lib/pyshared/python2.7/
drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/lib/pyshared/python2.7/sklearn/
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drwxr-xr-x root/root 0 2013-06-18 04:41 ./usr/lib/pyshared/python2.7/sklearn/utils/
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Build Architecture: armhf
Build-Space: 49300
Build-Time: 1551
Distribution: jessie-staging
Host Architecture: armhf
Install-Time: 689
Job: scikit-learn_0.13.1-1
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 2301
Source-Version: 0.13.1-1
Space: 49300
Status: successful
Version: 0.13.1-1
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Finished at 20130618-0442
Build needed 00:38:21, 49300k disc space