scikit-learn →
0.14.1-3 →
armhf → 2014-05-19 06:56:18
sbuild (Debian sbuild) 0.63.2 (18 Aug 2012) on bm-wb-01
╔══════════════════════════════════════════════════════════════════════════════╗
║ scikit-learn 0.14.1-3 (armhf) 19 May 2014 06:06 ║
╚══════════════════════════════════════════════════════════════════════════════╝
Package: scikit-learn
Version: 0.14.1-3
Source Version: 0.14.1-3
Distribution: jessie-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
I: NOTICE: Log filtering will replace 'build/scikit-learn-P7Hd3q/scikit-learn-0.14.1' with '«PKGBUILDDIR»'
I: NOTICE: Log filtering will replace 'build/scikit-learn-P7Hd3q' with '«BUILDDIR»'
I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/jessie-staging-armhf-sbuild-3f832847-3e88-4a73-b4fe-b678ed68d1d6' with '«CHROOT»'
┌──────────────────────────────────────────────────────────────────────────────┐
│ Update chroot │
└──────────────────────────────────────────────────────────────────────────────┘
Get:1 http://172.17.0.1 jessie-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1 jessie-staging/main Sources [7460 kB]
Get:3 http://172.17.0.1 jessie-staging/main armhf Packages [8625 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
──────────────────────────────
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 6866 kB of source archives.
Get:1 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.14.1-3 (dsc) [1852 B]
Get:2 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.14.1-3 (tar) [6855 kB]
Get:3 http://172.17.0.1/private/ jessie-staging/main scikit-learn 0.14.1-3 (diff) [9964 B]
Fetched 6866 kB in 1s (4417 kB/s)
Download complete and in download only mode
Check arch
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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-MmFyCr/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 29 not upgraded.
Need to get 0 B/818 B of archives.
After this operation, 0 B of additional disk space will be used.
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 11664 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy.deb ...
Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ...
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), dh-autoreconf, python-all-dev (>= 2.5), cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-nose, python-matplotlib, python-joblib (>= 0.4.5), python-support
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), dh-autoreconf, python-all-dev (>= 2.5), cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-nose, python-matplotlib, python-joblib (>= 0.4.5), python-support
dpkg-deb: building package `sbuild-build-depends-scikit-learn-dummy' in `/«BUILDDIR»/resolver-au2OH7/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:
autoconf automake autopoint autotools-dev bsdmainutils cython debhelper
dh-autoreconf file fontconfig fontconfig-config fonts-dejavu-core fonts-lyx
gcc-4.9-base gettext gettext-base groff-base intltool-debian libamd2.3.1
libasprintf0c2 libatk1.0-0 libatk1.0-data libatomic1 libavahi-client3
libavahi-common-data libavahi-common3 libblas3 libcairo2 libcamd2.3.1
libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libcroco3 libcups2 libdatrie1
libdrm2 libexpat1 libexpat1-dev libffi6 libfontconfig1 libfreetype6 libgcc1
libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libgl1-mesa-glx
libglapi-mesa libglib2.0-0 libgnutls28 libgomp1 libgraphite2-3
libgssapi-krb5-2 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libhogweed2
libjasper1 libjbig0 libjpeg8 libk5crypto3 libkeyutils1 libkrb5-3
libkrb5support0 liblapack3 libmagic1 libnettle4 libp11-kit0 libpango-1.0-0
libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpng12-0
libpython-all-dev libpython-dev libpython-stdlib libpython2.7
libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libsigsegv2
libsqlite3-0 libssl1.0.0 libstdc++6 libsvm-dev libsvm3 libtasn1-6 libtcl8.5
libthai-data libthai0 libtiff5 libtk8.5 libtool libumfpack5.6.2
libunistring0 libx11-6 libx11-data libx11-xcb1 libxau6 libxcb-dri2-0
libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-render0 libxcb-shm0
libxcb-sync1 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6
libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2
libxrender1 libxshmfence1 libxss1 libxxf86vm1 m4 man-db mime-support
po-debconf python python-all python-all-dev python-dateutil python-decorator
python-dev python-joblib python-matplotlib python-matplotlib-data
python-minimal python-nose python-numpy python-pkg-resources
python-pyparsing python-scipy python-setuptools python-six python-support
python-tz python2.7 python2.7-dev python2.7-minimal shared-mime-info tcl8.5
tk8.5 ucf x11-common
Suggested packages:
autoconf2.13 autoconf-archive gnu-standards autoconf-doc wamerican wordlist
whois vacation dh-make gettext-doc groff cups-common gnutls-bin krb5-doc
krb5-user librsvg2-common gvfs libjasper-runtime ttf-baekmuk
ttf-arphic-gbsn00lp ttf-arphic-bsmi00lp ttf-arphic-gkai00mp
ttf-arphic-bkai00mp libtool-doc automaken gfortran fortran95-compiler
gcj-jdk less www-browser libmail-box-perl python-doc python-tk dvipng
gir1.2-gtk-3.0 ghostscript inkscape ipython python-cairo python-configobj
python-excelerator python-gobject python-gtk2 python-matplotlib-doc
python-qt4 python-sip python-tornado python-traits python-wxgtk2.8
texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage
python-nose-doc python-numpy-dbg python-numpy-doc python-distribute
python-distribute-doc python2.7-doc binfmt-support tcl-tclreadline
Recommended packages:
curl wget lynx-cur libasprintf-dev libgettextpo-dev libgl1-mesa-dri
libglib2.0-data hicolor-icon-theme libgtk2.0-bin krb5-locales libltdl-dev
xml-core libmail-sendmail-perl python-simplejson python-glade2
python-imaging xterm x-terminal-emulator
The following NEW packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cython debhelper
dh-autoreconf file fontconfig fontconfig-config fonts-dejavu-core fonts-lyx
gettext gettext-base groff-base intltool-debian libamd2.3.1 libasprintf0c2
libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data
libavahi-common3 libblas3 libcairo2 libcamd2.3.1 libccolamd2.8.0
libcholmod2.1.2 libcolamd2.8.0 libcroco3 libcups2 libdatrie1 libdrm2
libexpat1 libexpat1-dev libffi6 libfontconfig1 libfreetype6
libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libgl1-mesa-glx
libglapi-mesa libglib2.0-0 libgnutls28 libgraphite2-3 libgssapi-krb5-2
libgtk2.0-0 libgtk2.0-common libharfbuzz0b libhogweed2 libjasper1 libjbig0
libjpeg8 libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 liblapack3
libmagic1 libnettle4 libp11-kit0 libpango-1.0-0 libpangocairo-1.0-0
libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpng12-0 libpython-all-dev
libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev
libpython2.7-minimal libpython2.7-stdlib libsigsegv2 libsqlite3-0
libssl1.0.0 libsvm-dev libsvm3 libtasn1-6 libtcl8.5 libthai-data libthai0
libtiff5 libtk8.5 libtool libumfpack5.6.2 libunistring0 libx11-6 libx11-data
libx11-xcb1 libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0
libxcb-render0 libxcb-shm0 libxcb-sync1 libxcb1 libxcomposite1 libxcursor1
libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1
libxml2 libxrandr2 libxrender1 libxshmfence1 libxss1 libxxf86vm1 m4 man-db
mime-support po-debconf python python-all python-all-dev python-dateutil
python-decorator python-dev python-joblib python-matplotlib
python-matplotlib-data python-minimal python-nose python-numpy
python-pkg-resources python-pyparsing python-scipy python-setuptools
python-six python-support python-tz python2.7 python2.7-dev
python2.7-minimal sbuild-build-depends-scikit-learn-dummy shared-mime-info
tcl8.5 tk8.5 ucf x11-common
The following packages will be upgraded:
gcc-4.9-base libatomic1 libgcc1 libgomp1 libstdc++6
5 upgraded, 149 newly installed, 0 to remove and 24 not upgraded.
Need to get 75.7 MB/75.7 MB of archives.
After this operation, 211 MB of additional disk space will be used.
Get:1 http://172.17.0.1/private/ jessie-staging/main libgomp1 armhf 4.9.0-2 [33.3 kB]
Get:2 http://172.17.0.1/private/ jessie-staging/main gcc-4.9-base armhf 4.9.0-2 [155 kB]
Get:3 http://172.17.0.1/private/ jessie-staging/main libstdc++6 armhf 4.9.0-2 [225 kB]
Get:4 http://172.17.0.1/private/ jessie-staging/main libatomic1 armhf 4.9.0-2 [6166 B]
Get:5 http://172.17.0.1/private/ jessie-staging/main libgcc1 armhf 1:4.9.0-2 [39.5 kB]
Get:6 http://172.17.0.1/private/ jessie-staging/main libpipeline1 armhf 1.3.0-1 [21.1 kB]
Get:7 http://172.17.0.1/private/ jessie-staging/main libssl1.0.0 armhf 1.0.1g-4 [825 kB]
Get:8 http://172.17.0.1/private/ jessie-staging/main groff-base armhf 1.22.2-5 [962 kB]
Get:9 http://172.17.0.1/private/ jessie-staging/main bsdmainutils armhf 9.0.5 [206 kB]
Get:10 http://172.17.0.1/private/ jessie-staging/main man-db armhf 2.6.7.1-1 [964 kB]
Get:11 http://172.17.0.1/private/ jessie-staging/main libasprintf0c2 armhf 0.18.3.2-1 [29.0 kB]
Get:12 http://172.17.0.1/private/ jessie-staging/main libnettle4 armhf 2.7.1-2 [177 kB]
Get:13 http://172.17.0.1/private/ jessie-staging/main libhogweed2 armhf 2.7.1-2 [116 kB]
Get:14 http://172.17.0.1/private/ jessie-staging/main libffi6 armhf 3.1~rc1+r3.0.13-12 [17.6 kB]
Get:15 http://172.17.0.1/private/ jessie-staging/main libp11-kit0 armhf 0.20.2-5 [66.1 kB]
Get:16 http://172.17.0.1/private/ jessie-staging/main libtasn1-6 armhf 3.5-2 [42.9 kB]
Get:17 http://172.17.0.1/private/ jessie-staging/main libgnutls28 armhf 3.2.14-1 [603 kB]
Get:18 http://172.17.0.1/private/ jessie-staging/main libkeyutils1 armhf 1.5.6-1 [7900 B]
Get:19 http://172.17.0.1/private/ jessie-staging/main libkrb5support0 armhf 1.12.1+dfsg-1 [52.3 kB]
Get:20 http://172.17.0.1/private/ jessie-staging/main libk5crypto3 armhf 1.12.1+dfsg-1 [105 kB]
Get:21 http://172.17.0.1/private/ jessie-staging/main libkrb5-3 armhf 1.12.1+dfsg-1 [245 kB]
Get:22 http://172.17.0.1/private/ jessie-staging/main libgssapi-krb5-2 armhf 1.12.1+dfsg-1 [121 kB]
Get:23 http://172.17.0.1/private/ jessie-staging/main libmagic1 armhf 1:5.18-1 [229 kB]
Get:24 http://172.17.0.1/private/ jessie-staging/main libpython2.7-minimal armhf 2.7.6-8 [346 kB]
Get:25 http://172.17.0.1/private/ jessie-staging/main mime-support all 3.55 [35.1 kB]
Get:26 http://172.17.0.1/private/ jessie-staging/main libexpat1 armhf 2.1.0-4 [117 kB]
Get:27 http://172.17.0.1/private/ jessie-staging/main libsqlite3-0 armhf 3.8.4.3-3 [352 kB]
Get:28 http://172.17.0.1/private/ jessie-staging/main libpython2.7-stdlib armhf 2.7.6-8 [1827 kB]
Get:29 http://172.17.0.1/private/ jessie-staging/main libpython2.7 armhf 2.7.6-8 [883 kB]
Get:30 http://172.17.0.1/private/ jessie-staging/main libxml2 armhf 2.9.1+dfsg1-3 [836 kB]
Get:31 http://172.17.0.1/private/ jessie-staging/main python2.7-minimal armhf 2.7.6-8 [1092 kB]
Get:32 http://172.17.0.1/private/ jessie-staging/main libamd2.3.1 armhf 1:4.2.1-3 [22.6 kB]
Get:33 http://172.17.0.1/private/ jessie-staging/main libglib2.0-0 armhf 2.40.0-3 [2247 kB]
Get:34 http://172.17.0.1/private/ jessie-staging/main libatk1.0-data all 2.12.0-1 [179 kB]
Get:35 http://172.17.0.1/private/ jessie-staging/main libatk1.0-0 armhf 2.12.0-1 [83.1 kB]
Get:36 http://172.17.0.1/private/ jessie-staging/main libavahi-common-data armhf 0.6.31-4 [98.4 kB]
Get:37 http://172.17.0.1/private/ jessie-staging/main libavahi-common3 armhf 0.6.31-4 [48.2 kB]
Get:38 http://172.17.0.1/private/ jessie-staging/main libavahi-client3 armhf 0.6.31-4 [49.8 kB]
Get:39 http://172.17.0.1/private/ jessie-staging/main libpng12-0 armhf 1.2.50-1 [180 kB]
Get:40 http://172.17.0.1/private/ jessie-staging/main libfreetype6 armhf 2.5.2-1 [397 kB]
Get:41 http://172.17.0.1/private/ jessie-staging/main ucf all 3.0028 [69.1 kB]
Get:42 http://172.17.0.1/private/ jessie-staging/main fonts-dejavu-core all 2.34-1 [1047 kB]
Get:43 http://172.17.0.1/private/ jessie-staging/main fontconfig-config all 2.11.0-5 [273 kB]
Get:44 http://172.17.0.1/private/ jessie-staging/main libfontconfig1 armhf 2.11.0-5 [310 kB]
Get:45 http://172.17.0.1/private/ jessie-staging/main libdrm2 armhf 2.4.54-1 [25.9 kB]
Get:46 http://172.17.0.1/private/ jessie-staging/main libglapi-mesa armhf 10.1.2-1 [63.7 kB]
Get:47 http://172.17.0.1/private/ jessie-staging/main libxau6 armhf 1:1.0.8-1 [19.9 kB]
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Get:54 http://172.17.0.1/private/ jessie-staging/main libxcb-dri3-0 armhf 1.10-2 [10.3 kB]
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Get:56 http://172.17.0.1/private/ jessie-staging/main libxcb-present0 armhf 1.10-2 [10.4 kB]
Get:57 http://172.17.0.1/private/ jessie-staging/main libxcb-sync1 armhf 1.10-2 [12.9 kB]
Get:58 http://172.17.0.1/private/ jessie-staging/main libxfixes3 armhf 1:5.0.1-1 [21.0 kB]
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Get:60 http://172.17.0.1/private/ jessie-staging/main libxext6 armhf 2:1.3.2-1 [51.1 kB]
Get:61 http://172.17.0.1/private/ jessie-staging/main libxshmfence1 armhf 1.1-2 [6736 B]
Get:62 http://172.17.0.1/private/ jessie-staging/main libxxf86vm1 armhf 1:1.1.3-1 [20.0 kB]
Get:63 http://172.17.0.1/private/ jessie-staging/main libgl1-mesa-glx armhf 10.1.2-1 [134 kB]
Get:64 http://172.17.0.1/private/ jessie-staging/main libpixman-1-0 armhf 0.32.4-1 [476 kB]
Get:65 http://172.17.0.1/private/ jessie-staging/main libxcb-render0 armhf 1.10-2 [15.7 kB]
Get:66 http://172.17.0.1/private/ jessie-staging/main libxcb-shm0 armhf 1.10-2 [10.8 kB]
Get:67 http://172.17.0.1/private/ jessie-staging/main libxrender1 armhf 1:0.9.8-1 [30.4 kB]
Get:68 http://172.17.0.1/private/ jessie-staging/main libcairo2 armhf 1.12.16-2+rpi1 [894 kB]
Get:69 http://172.17.0.1/private/ jessie-staging/main libcamd2.3.1 armhf 1:4.2.1-3 [20.4 kB]
Get:70 http://172.17.0.1/private/ jessie-staging/main libccolamd2.8.0 armhf 1:4.2.1-3 [21.5 kB]
Get:71 http://172.17.0.1/private/ jessie-staging/main libgfortran3 armhf 4.9.0-2 [154 kB]
Get:72 http://172.17.0.1/private/ jessie-staging/main libblas3 armhf 1.2.20110419-7 [186 kB]
Get:73 http://172.17.0.1/private/ jessie-staging/main libcolamd2.8.0 armhf 1:4.2.1-3 [17.8 kB]
Get:74 http://172.17.0.1/private/ jessie-staging/main liblapack3 armhf 3.5.0-2 [2416 kB]
Get:75 http://172.17.0.1/private/ jessie-staging/main libcholmod2.1.2 armhf 1:4.2.1-3 [364 kB]
Get:76 http://172.17.0.1/private/ jessie-staging/main libcroco3 armhf 0.6.8-2 [119 kB]
Get:77 http://172.17.0.1/private/ jessie-staging/main libcups2 armhf 1.7.2-3 [248 kB]
Get:78 http://172.17.0.1/private/ jessie-staging/main libdatrie1 armhf 0.2.8-1 [29.1 kB]
Get:79 http://172.17.0.1/private/ jessie-staging/main libjpeg8 armhf 8d-2 [133 kB]
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Get:86 http://172.17.0.1/private/ jessie-staging/main libgtk2.0-common all 2.24.23-1 [3148 kB]
Get:87 http://172.17.0.1/private/ jessie-staging/main libthai-data all 0.1.20-3 [157 kB]
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Get:89 http://172.17.0.1/private/ jessie-staging/main fontconfig armhf 2.11.0-5 [401 kB]
Get:90 http://172.17.0.1/private/ jessie-staging/main libpango-1.0-0 armhf 1.36.3-1 [265 kB]
Get:91 http://172.17.0.1/private/ jessie-staging/main libharfbuzz0b armhf 0.9.28-1 [434 kB]
Get:92 http://172.17.0.1/private/ jessie-staging/main libpangoft2-1.0-0 armhf 1.36.3-1 [199 kB]
Get:93 http://172.17.0.1/private/ jessie-staging/main libpangocairo-1.0-0 armhf 1.36.3-1 [189 kB]
Get:94 http://172.17.0.1/private/ jessie-staging/main libxcomposite1 armhf 1:0.4.4-1 [16.8 kB]
Get:95 http://172.17.0.1/private/ jessie-staging/main libxcursor1 armhf 1:1.1.14-1 [34.7 kB]
Get:96 http://172.17.0.1/private/ jessie-staging/main libxi6 armhf 2:1.7.2-1 [76.8 kB]
Get:97 http://172.17.0.1/private/ jessie-staging/main libxinerama1 armhf 2:1.1.3-1 [16.9 kB]
Get:98 http://172.17.0.1/private/ jessie-staging/main libxrandr2 armhf 2:1.4.2-1 [31.7 kB]
Get:99 http://172.17.0.1/private/ jessie-staging/main shared-mime-info armhf 1.2-1 [627 kB]
Get:100 http://172.17.0.1/private/ jessie-staging/main libgtk2.0-0 armhf 2.24.23-1 [1961 kB]
Get:101 http://172.17.0.1/private/ jessie-staging/main libexpat1-dev armhf 2.1.0-4 [210 kB]
Get:102 http://172.17.0.1/private/ jessie-staging/main libpython2.7-dev armhf 2.7.6-8 [21.6 MB]
Get:103 http://172.17.0.1/private/ jessie-staging/main libsigsegv2 armhf 2.10-2 [29.2 kB]
Get:104 http://172.17.0.1/private/ jessie-staging/main libtcl8.5 armhf 8.5.15-4 [649 kB]
Get:105 http://172.17.0.1/private/ jessie-staging/main libxft2 armhf 2.3.1-2 [47.7 kB]
Get:106 http://172.17.0.1/private/ jessie-staging/main x11-common all 1:7.7+7 [287 kB]
Get:107 http://172.17.0.1/private/ jessie-staging/main libxss1 armhf 1:1.2.2-1 [16.8 kB]
Get:108 http://172.17.0.1/private/ jessie-staging/main libtk8.5 armhf 8.5.15-4 [646 kB]
Get:109 http://172.17.0.1/private/ jessie-staging/main libumfpack5.6.2 armhf 1:4.2.1-3 [314 kB]
Get:110 http://172.17.0.1/private/ jessie-staging/main libunistring0 armhf 0.9.3-5 [408 kB]
Get:111 http://172.17.0.1/private/ jessie-staging/main file armhf 1:5.18-1 [57.2 kB]
Get:112 http://172.17.0.1/private/ jessie-staging/main gettext-base armhf 0.18.3.2-1 [112 kB]
Get:113 http://172.17.0.1/private/ jessie-staging/main m4 armhf 1.4.17-3 [238 kB]
Get:114 http://172.17.0.1/private/ jessie-staging/main python2.7 armhf 2.7.6-8 [239 kB]
Get:115 http://172.17.0.1/private/ jessie-staging/main python-minimal armhf 2.7.6-1 [39.4 kB]
Get:116 http://172.17.0.1/private/ jessie-staging/main libpython-stdlib armhf 2.7.6-1 [18.8 kB]
Get:117 http://172.17.0.1/private/ jessie-staging/main python armhf 2.7.6-1 [148 kB]
Get:118 http://172.17.0.1/private/ jessie-staging/main python-support all 1.0.15 [33.6 kB]
Get:119 http://172.17.0.1/private/ jessie-staging/main autoconf all 2.69-6 [340 kB]
Get:120 http://172.17.0.1/private/ jessie-staging/main autotools-dev all 20130810.1 [69.6 kB]
Get:121 http://172.17.0.1/private/ jessie-staging/main automake all 1:1.14.1-3 [725 kB]
Get:122 http://172.17.0.1/private/ jessie-staging/main autopoint all 0.18.3.2-1 [393 kB]
Get:123 http://172.17.0.1/private/ jessie-staging/main cython armhf 0.20.1+git90-g0e6e38e-1 [1287 kB]
Get:124 http://172.17.0.1/private/ jessie-staging/main gettext armhf 0.18.3.2-1 [1137 kB]
Get:125 http://172.17.0.1/private/ jessie-staging/main intltool-debian all 0.35.0+20060710.1 [29.8 kB]
Get:126 http://172.17.0.1/private/ jessie-staging/main po-debconf all 1.0.16+nmu2 [223 kB]
Get:127 http://172.17.0.1/private/ jessie-staging/main debhelper all 9.20140228 [691 kB]
Get:128 http://172.17.0.1/private/ jessie-staging/main libtool armhf 2.4.2-1.7 [505 kB]
Get:129 http://172.17.0.1/private/ jessie-staging/main dh-autoreconf all 9 [15.5 kB]
Get:130 http://172.17.0.1/private/ jessie-staging/main fonts-lyx all 2.0.6-1 [167 kB]
Get:131 http://172.17.0.1/private/ jessie-staging/main libpython-dev armhf 2.7.6-1 [18.9 kB]
Get:132 http://172.17.0.1/private/ jessie-staging/main libpython-all-dev armhf 2.7.6-1 [1008 B]
Get:133 http://172.17.0.1/private/ jessie-staging/main libsvm3 armhf 3.12-1+b1 [40.7 kB]
Get:134 http://172.17.0.1/private/ jessie-staging/main libsvm-dev armhf 3.12-1+b1 [41.2 kB]
Get:135 http://172.17.0.1/private/ jessie-staging/main python-all armhf 2.7.6-1 [988 B]
Get:136 http://172.17.0.1/private/ jessie-staging/main python2.7-dev armhf 2.7.6-8 [280 kB]
Get:137 http://172.17.0.1/private/ jessie-staging/main python-dev armhf 2.7.6-1 [1184 B]
Get:138 http://172.17.0.1/private/ jessie-staging/main python-all-dev armhf 2.7.6-1 [1018 B]
Get:139 http://172.17.0.1/private/ jessie-staging/main python-dateutil all 1.5+dfsg-1 [49.0 kB]
Get:140 http://172.17.0.1/private/ jessie-staging/main python-decorator all 3.4.0-2 [22.3 kB]
Get:141 http://172.17.0.1/private/ jessie-staging/main python-joblib all 0.7.1-1 [47.0 kB]
Get:142 http://172.17.0.1/private/ jessie-staging/main python-matplotlib-data all 1.3.1-1 [2813 kB]
Get:143 http://172.17.0.1/private/ jessie-staging/main python-pyparsing all 2.0.1+dfsg1-1 [61.6 kB]
Get:144 http://172.17.0.1/private/ jessie-staging/main python-tz all 2012c-1 [39.9 kB]
Get:145 http://172.17.0.1/private/ jessie-staging/main python-numpy armhf 1:1.8.1-1 [1468 kB]
Get:146 http://172.17.0.1/private/ jessie-staging/main tcl8.5 armhf 8.5.15-4 [58.4 kB]
Get:147 http://172.17.0.1/private/ jessie-staging/main tk8.5 armhf 8.5.15-4 [106 kB]
Get:148 http://172.17.0.1/private/ jessie-staging/main python-matplotlib armhf 1.3.1-1+b1 [1410 kB]
Get:149 http://172.17.0.1/private/ jessie-staging/main python-pkg-resources all 3.4.4-1 [64.3 kB]
Get:150 http://172.17.0.1/private/ jessie-staging/main python-nose all 1.3.2-1 [134 kB]
Get:151 http://172.17.0.1/private/ jessie-staging/main python-setuptools all 3.4.4-1 [255 kB]
Get:152 http://172.17.0.1/private/ jessie-staging/main python-six all 1.6.1-1 [10.3 kB]
Get:153 http://172.17.0.1/private/ jessie-staging/main python-scipy armhf 0.13.3-2 [7180 kB]
debconf: delaying package configuration, since apt-utils is not installed
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update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode
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update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode
Setting up libcolamd2.8.0:armhf (1:4.2.1-3) ...
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update-alternatives: using /usr/lib/lapack/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode
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Setting up fontconfig (2.11.0-5) ...
Regenerating fonts cache... done.
Setting up libpango-1.0-0:armhf (1.36.3-1) ...
Setting up libharfbuzz0b:armhf (0.9.28-1) ...
Setting up libpangoft2-1.0-0:armhf (1.36.3-1) ...
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Setting up x11-common (1:7.7+7) ...
update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
All runlevel operations denied by policy
invoke-rc.d: policy-rc.d denied execution of start.
Setting up libxss1:armhf (1:1.2.2-1) ...
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update-alternatives: using /usr/bin/automake-1.14 to provide /usr/bin/automake (automake) in auto mode
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Setting up dh-autoreconf (9) ...
Setting up fonts-lyx (2.0.6-1) ...
Setting up libpython-dev:armhf (2.7.6-1) ...
Setting up libpython-all-dev:armhf (2.7.6-1) ...
Setting up libsvm3 (3.12-1+b1) ...
Setting up libsvm-dev (3.12-1+b1) ...
Setting up python-all (2.7.6-1) ...
Setting up python2.7-dev (2.7.6-8) ...
Setting up python-dev (2.7.6-1) ...
Setting up python-all-dev (2.7.6-1) ...
Setting up python-dateutil (1.5+dfsg-1) ...
Setting up python-decorator (3.4.0-2) ...
Setting up python-joblib (0.7.1-1) ...
Setting up python-matplotlib-data (1.3.1-1) ...
Setting up python-pyparsing (2.0.1+dfsg1-1) ...
Setting up python-tz (2012c-1) ...
Setting up python-numpy (1:1.8.1-1) ...
Setting up tcl8.5 (8.5.15-4) ...
Setting up tk8.5 (8.5.15-4) ...
Setting up python-matplotlib (1.3.1-1+b1) ...
Setting up python-pkg-resources (3.4.4-1) ...
Setting up python-nose (1.3.2-1) ...
Setting up python-setuptools (3.4.4-1) ...
Setting up python-six (1.6.1-1) ...
Setting up python-scipy (0.13.3-2) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.18-5) ...
Processing triggers for python-support (1.0.15) ...
┌──────────────────────────────────────────────────────────────────────────────┐
│ Build environment │
└──────────────────────────────────────────────────────────────────────────────┘
Kernel: Linux 3.14-1-armmp armhf (armv7l)
Toolchain package versions: binutils_2.24.51.20140425-1 dpkg-dev_1.17.6+rpi1 g++-4.8_4.8.2-21 gcc-4.8_4.8.2-21 libc6-dev_2.18-5 libstdc++-4.8-dev_4.8.2-21 libstdc++6_4.9.0-2 linux-libc-dev_3.13.10-1+rpi1
Package versions: apt_1.0.1 autoconf_2.69-6 automake_1:1.14.1-3 autopoint_0.18.3.2-1 autotools-dev_20130810.1 base-files_7.2+rpi1 base-passwd_3.5.28 bash_4.3-7 binutils_2.24.51.20140425-1 bsdmainutils_9.0.5 bsdutils_1:2.20.1-5.7 build-essential_11.6 bzip2_1.0.6-5 coreutils_8.21-1.2 cpio_2.11+dfsg-2 cpp_4:4.8.2-3 cpp-4.8_4.8.2-21 cython_0.20.1+git90-g0e6e38e-1 dash_0.5.7-4 debconf_1.5.53 debconf-i18n_1.5.53 debfoster_2.7-1.2 debhelper_9.20140228 debianutils_4.4 dh-autoreconf_9 diffutils_1:3.3-1 dpkg_1.17.6+rpi1 dpkg-dev_1.17.6+rpi1 e2fslibs_1.42.9-3 e2fsprogs_1.42.9-3 fakeroot_1.18.4-2 file_1:5.18-1 findutils_4.4.2-8 fontconfig_2.11.0-5 fontconfig-config_2.11.0-5 fonts-dejavu-core_2.34-1 fonts-lyx_2.0.6-1 g++_4:4.8.2-3 g++-4.8_4.8.2-21 gcc_4:4.8.2-3 gcc-4.5-base_4.5.3-12+rpi1 gcc-4.6-base_4.6.4-5+rpi1 gcc-4.7-base_4.7.3-11+rpi1 gcc-4.8_4.8.2-21 gcc-4.8-base_4.8.2-21 gcc-4.9-base_4.9.0-2 gettext_0.18.3.2-1 gettext-base_0.18.3.2-1 gnupg_1.4.16-1.1 gpgv_1.4.16-1.1 grep_2.18-2 groff-base_1.22.2-5 gzip_1.6-3 hostname_3.15 init-system-helpers_1.18 initramfs-tools_0.115 initscripts_2.88dsf-53 insserv_1.14.0-5 intltool-debian_0.35.0+20060710.1 klibc-utils_2.0.2-1+rpi1 kmod_16-2 libacl1_2.2.52-1 libamd2.3.1_1:4.2.1-3 libapt-pkg4.12_1.0.1 libasan0_4.8.2-21 libasprintf0c2_0.18.3.2-1 libatk1.0-0_2.12.0-1 libatk1.0-data_2.12.0-1 libatomic1_4.9.0-2 libattr1_1:2.4.47-1 libaudit-common_1:2.3.6-1 libaudit1_1:2.3.6-1 libavahi-client3_0.6.31-4 libavahi-common-data_0.6.31-4 libavahi-common3_0.6.31-4 libblas3_1.2.20110419-7 libblkid1_2.20.1-5.7 libbz2-1.0_1.0.6-5 libc-bin_2.18-5 libc-dev-bin_2.18-5 libc6_2.18-5 libc6-dev_2.18-5 libcairo2_1.12.16-2+rpi1 libcamd2.3.1_1:4.2.1-3 libcap2_1:2.22-1.2 libccolamd2.8.0_1:4.2.1-3 libcholmod2.1.2_1:4.2.1-3 libcloog-isl4_0.18.2-1 libcolamd2.8.0_1:4.2.1-3 libcomerr2_1.42.9-3 libcroco3_0.6.8-2 libcups2_1.7.2-3 libdatrie1_0.2.8-1 libdb5.1_5.1.29-6 libdb5.3_5.3.28-3 libdbus-1-3_1.8.0-3 libdpkg-perl_1.17.6+rpi1 libdrm2_2.4.54-1 libexpat1_2.1.0-4 libexpat1-dev_2.1.0-4 libffi6_3.1~rc1+r3.0.13-12 libfontconfig1_2.11.0-5 libfreetype6_2.5.2-1 libgc1c2_1:7.2d-6 libgcc-4.8-dev_4.8.2-21 libgcc1_1:4.9.0-2 libgdbm3_1.8.3-12 libgdk-pixbuf2.0-0_2.30.7-1 libgdk-pixbuf2.0-common_2.30.7-1 libgfortran3_4.9.0-2 libgl1-mesa-glx_10.1.2-1 libglapi-mesa_10.1.2-1 libglib2.0-0_2.40.0-3 libgmp10_2:6.0.0+dfsg-2 libgnutls28_3.2.14-1 libgomp1_4.9.0-2 libgraphite2-3_1.2.4-2 libgssapi-krb5-2_1.12.1+dfsg-1 libgtk2.0-0_2.24.23-1 libgtk2.0-common_2.24.23-1 libharfbuzz0b_0.9.28-1 libhogweed2_2.7.1-2 libisl10_0.12.2-1 libjasper1_1.900.1-debian1-1 libjbig0_2.0-2.1 libjpeg8_8d-2 libk5crypto3_1.12.1+dfsg-1 libkeyutils1_1.5.6-1 libklibc_2.0.2-1+rpi1 libkmod2_16-2 libkrb5-3_1.12.1+dfsg-1 libkrb5support0_1.12.1+dfsg-1 liblapack3_3.5.0-2 liblocale-gettext-perl_1.05-8 liblzma5_5.1.1alpha+20120614-2 libmagic1_1:5.18-1 libmount1_2.20.1-5.7 libmpc3_1.0.1-1 libmpfr4_3.1.2-1 libncurses5_5.9+20140118-1 libncursesw5_5.9+20140118-1 libnettle4_2.7.1-2 libp11-kit0_0.20.2-5 libpam-modules_1.1.8-3 libpam-modules-bin_1.1.8-3 libpam-runtime_1.1.8-3 libpam0g_1.1.8-3 libpango-1.0-0_1.36.3-1 libpangocairo-1.0-0_1.36.3-1 libpangoft2-1.0-0_1.36.3-1 libpcre3_1:8.31-5 libpipeline1_1.3.0-1 libpixman-1-0_0.32.4-1 libpng12-0_1.2.50-1 libprocps0_1:3.3.4-2 libprocps3_1:3.3.9-2 libpython-all-dev_2.7.6-1 libpython-dev_2.7.6-1 libpython-stdlib_2.7.6-1 libpython2.7_2.7.6-8 libpython2.7-dev_2.7.6-8 libpython2.7-minimal_2.7.6-8 libpython2.7-stdlib_2.7.6-8 libreadline6_6.3-6 libselinux1_2.2.2-1 libsemanage-common_2.2-1 libsemanage1_2.2-1 libsepol1_2.2-1 libsigsegv2_2.10-2 libslang2_2.2.4-16 libsqlite3-0_3.8.4.3-3 libss2_1.42.9-3 libssl1.0.0_1.0.1g-4 libstdc++-4.8-dev_4.8.2-21 libstdc++6_4.9.0-2 libsvm-dev_3.12-1+b1 libsvm3_3.12-1+b1 libtasn1-6_3.5-2 libtcl8.5_8.5.15-4 libtext-charwidth-perl_0.04-7+b3 libtext-iconv-perl_1.7-5+b3 libtext-wrapi18n-perl_0.06-7 libthai-data_0.1.20-3 libthai0_0.1.20-3 libtiff5_4.0.3-8 libtimedate-perl_2.3000-2 libtinfo5_5.9+20140118-1 libtk8.5_8.5.15-4 libtool_2.4.2-1.7 libudev1_204-8 libumfpack5.6.2_1:4.2.1-3 libunistring0_0.9.3-5 libusb-0.1-4_2:0.1.12-23.3 libustr-1.0-1_1.0.4-3 libuuid1_2.20.1-5.7 libx11-6_2:1.6.2-1 libx11-data_2:1.6.2-1 libx11-xcb1_2:1.6.2-1 libxau6_1:1.0.8-1 libxcb-dri2-0_1.10-2 libxcb-dri3-0_1.10-2 libxcb-glx0_1.10-2 libxcb-present0_1.10-2 libxcb-render0_1.10-2 libxcb-shm0_1.10-2 libxcb-sync1_1.10-2 libxcb1_1.10-2 libxcomposite1_1:0.4.4-1 libxcursor1_1:1.1.14-1 libxdamage1_1:1.1.4-1 libxdmcp6_1:1.1.1-1 libxext6_2:1.3.2-1 libxfixes3_1:5.0.1-1 libxft2_2.3.1-2 libxi6_2:1.7.2-1 libxinerama1_2:1.1.3-1 libxml2_2.9.1+dfsg1-3 libxrandr2_2:1.4.2-1 libxrender1_1:0.9.8-1 libxshmfence1_1.1-2 libxss1_1:1.2.2-1 libxxf86vm1_1:1.1.3-1 linux-libc-dev_3.13.10-1+rpi1 login_1:4.1.5.1-1.1 lsb-base_4.1+Debian12+rpi1 m4_1.4.17-3 make_3.81-8.3 makedev_2.3.1-93 man-db_2.6.7.1-1 mawk_1.3.3-17 mime-support_3.55 mount_2.20.1-5.7 multiarch-support_2.18-5 nano_2.2.6-1.1 ncurses-base_5.9+20140118-1 ncurses-bin_5.9+20140118-1 passwd_1:4.1.5.1-1.1 patch_2.7.1-5 perl_5.18.2-2+b1 perl-base_5.18.2-2+b1 perl-modules_5.18.2-2 plymouth_0.8.8-16 po-debconf_1.0.16+nmu2 procps_1:3.3.9-2 python_2.7.6-1 python-all_2.7.6-1 python-all-dev_2.7.6-1 python-dateutil_1.5+dfsg-1 python-decorator_3.4.0-2 python-dev_2.7.6-1 python-joblib_0.7.1-1 python-matplotlib_1.3.1-1+b1 python-matplotlib-data_1.3.1-1 python-minimal_2.7.6-1 python-nose_1.3.2-1 python-numpy_1:1.8.1-1 python-pkg-resources_3.4.4-1 python-pyparsing_2.0.1+dfsg1-1 python-scipy_0.13.3-2 python-setuptools_3.4.4-1 python-six_1.6.1-1 python-support_1.0.15 python-tz_2012c-1 python2.7_2.7.6-8 python2.7-dev_2.7.6-8 python2.7-minimal_2.7.6-8 raspbian-archive-keyring_20120528.2 readline-common_6.3-6 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.2.2-4 sensible-utils_0.0.9 shared-mime-info_1.2-1 startpar_0.59-3 sysv-rc_2.88dsf-53 sysvinit_2.88dsf-53 sysvinit-core_2.88dsf-53 sysvinit-utils_2.88dsf-53 tar_1.27.1-2 tcl8.5_8.5.15-4 tk8.5_8.5.15-4 tzdata_2014b-1 ucf_3.0028 udev_204-8 util-linux_2.20.1-5.7 x11-common_1:7.7+7 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 Tue May 13 14:28:08 2014 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_0.14.1-3.dsc
dpkg-source: info: extracting scikit-learn in scikit-learn-0.14.1
dpkg-source: info: unpacking scikit-learn_0.14.1.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.14.1-3.debian.tar.xz
dpkg-source: info: applying deb_use_system_joblib
dpkg-source: info: applying deb_no_google_analytics
dpkg-source: info: applying changeset_36ba287b29f3d039b8ecb5194dae1c47cf24641a.diff
Check disc space
────────────────
Sufficient free space for build
User Environment
────────────────
APT_CONFIG=/var/lib/sbuild/apt.conf
COLUMNS=80
CONSOLE=/dev/console
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
INIT_VERSION=sysvinit-2.88
LC_ALL=POSIX
LINES=24
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
PREVLEVEL=N
PWD=/
RUNLEVEL=2
SCHROOT_ALIAS_NAME=jessie-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=jessie-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=109
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=jessie-staging-armhf-sbuild-3f832847-3e88-4a73-b4fe-b678ed68d1d6
SCHROOT_UID=104
SCHROOT_USER=buildd
SHELL=/bin/sh
TERM=linux
USER=buildd
init=/sbin/init
previous=N
rootmnt=/root
runlevel=2
dpkg-buildpackage
─────────────────
dpkg-buildpackage: source package scikit-learn
dpkg-buildpackage: source version 0.14.1-3
dpkg-buildpackage: source distribution unstable
dpkg-source --before-build scikit-learn-0.14.1
dpkg-buildpackage: host architecture armhf
fakeroot debian/rules clean
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh clean --buildsystem=python_distutils --with python2,autoreconf
dh_testdir -O--buildsystem=python_distutils
dh_auto_clean -O--buildsystem=python_distutils
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv7l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv7l' does not exist -- can't clean it
'build/scripts-2.7' does not exist -- can't clean it
dh_autoreconf_clean -O--buildsystem=python_distutils
debian/rules override_dh_clean
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_clean
make[1]: Leaving directory `/«PKGBUILDDIR»'
debian/rules build-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh build-arch --buildsystem=python_distutils --with python2,autoreconf
dh_testdir -a -O--buildsystem=python_distutils
debian/rules override_dh_autoreconf
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
dh_autoreconf debian/rules -- cythonize
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[2]: Entering directory `/«PKGBUILDDIR»'
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
D: removing previously generated by Cython sources
find -iname *.c | xargs grep -l 'Generated by Cython' | xargs rm
make cython
make[3]: Entering directory `/«PKGBUILDDIR»'
find sklearn -name "*.pyx" | xargs cython
warning: sklearn/datasets/_svmlight_format.pyx:34:14: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/datasets/_svmlight_format.pyx:34:25: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/neighbors/binary_tree.pxi:897:28: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/neighbors/binary_tree.pxi:897:39: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/neighbors/binary_tree.pxi:897:28: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/neighbors/binary_tree.pxi:897:39: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:34: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:30: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:498:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:498:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:562:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:562:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
make[3]: Leaving directory `/«PKGBUILDDIR»'
make[2]: Leaving directory `/«PKGBUILDDIR»'
make[1]: Leaving directory `/«PKGBUILDDIR»'
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
openblas_info:
libraries 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/python2.7/dist-packages/numpy/distutils/system_info.py:1521: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1530: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1533: 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:58: 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:77: 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._min_spanning_tree" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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.utils._logistic_sigmoid" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.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._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.utils.sparsetools._min_spanning_tree" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build
creating build/lib.linux-armv7l-2.7
creating build/lib.linux-armv7l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/_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/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/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/cluster/bicluster
copying sklearn/cluster/bicluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
copying sklearn/cluster/bicluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
copying sklearn/cluster/bicluster/utils.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/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/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-2.7/sklearn/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
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_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
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/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
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
creating build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
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_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.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/base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/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_base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.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
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/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/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/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/_graph_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_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_linear_assignment.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_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/six.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
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/kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
creating build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_weights.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
creating build/lib.linux-armv7l-2.7/sklearn/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/scorer.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
creating build/lib.linux-armv7l-2.7/sklearn/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/export.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree
creating build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
creating build/lib.linux-armv7l-2.7/sklearn/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
copying sklearn/metrics/tests/test_score_objects.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/metrics/cluster/bicluster
copying sklearn/metrics/cluster/bicluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster
copying sklearn/metrics/cluster/bicluster/bicluster_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests
copying sklearn/metrics/cluster/bicluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests
copying sklearn/metrics/cluster/bicluster/tests/test_bicluster_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/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/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/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/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/_graph_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/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_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/python2.7/dist-packages/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/python2.7/dist-packages/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/python2.7/dist-packages/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]
cblas_xerbla(info, "cblas_dgemv", "");
^
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
cblas_xerbla(info, "cblas_strsv", "");
^
In file included from sklearn/src/cblas/cblas_strsv.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
cblas_xerbla(info, "cblas_dger", "");
^
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
cblas_xerbla(info, "cblas_dtrsv", "");
^
In file included from sklearn/src/cblas/cblas_dtrsv.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
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]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
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]
exit(-1);
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -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/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/libsvm.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/liblinear.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/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:1173:23: warning: 'Gnorm1_init' may be used uninitialized in this function [-Wmaybe-uninitialized]
if(Gnorm1_new <= eps*Gnorm1_init)
^
sklearn/svm/src/liblinear/linear.cpp: In function 'void train_one(const problem*, const parameter*, double*, double, double)':
sklearn/svm/src/liblinear/linear.cpp:1630:23: warning: 'Gnorm1_init' may be used uninitialized in this function [-Wmaybe-uninitialized]
if(Gnorm1_new <= eps*Gnorm1_init)
^
sklearn/svm/src/liblinear/linear.cpp:1426:9: note: 'Gnorm1_init' was declared here
double Gnorm1_init;
^
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/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
sklearn/svm/libsvm_sparse.c: In function '__pyx_pf_7sklearn_3svm_13libsvm_sparse_libsvm_sparse_train':
sklearn/svm/libsvm_sparse.c:2251:3: warning: passing argument 2 of 'copy_support' from incompatible pointer type [enabled by default]
copy_support(__pyx_v_support->data, __pyx_v_model);
^
In file included from sklearn/svm/libsvm_sparse.c:355:0:
sklearn/svm/src/libsvm/libsvm_sparse_helper.c:309:6: note: expected 'struct svm_model *' but argument is of type 'struct svm_csr_model *'
void copy_support (char *data, struct svm_model *model)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/libsvm_sparse.c:353:
sklearn/svm/libsvm_sparse.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/datasets/_svmlight_format.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/feature_extraction/_hashing.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_hierarchical.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_hierarchical.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_k_means.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/ensemble/_gradient_boosting.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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._min_spanning_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/utils
creating build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_min_spanning_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_min_spanning_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_min_spanning_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_min_spanning_tree.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_min_spanning_tree.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.so
building 'sklearn.utils.sparsetools._traversal' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_traversal.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_graph_tools.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so
building 'sklearn.utils.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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arraybuilder.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arraybuilder.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/arraybuilder.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsefuncs.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/arrayfuncs.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/murmurhash.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/graph_shortest_path.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/seq_dataset.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/weight_vector.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/random.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/random.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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.utils._logistic_sigmoid' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/_logistic_sigmoid.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/ball_tree.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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.neighbors.kd_tree' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/kd_tree.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:19265:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:5993:94: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:5863:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:6741:93: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 543; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:6654:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:7337:94: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7217:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist':
sklearn/neighbors/dist_metrics.c:8059:95: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 670; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7884:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/dist_metrics.c:353:
sklearn/neighbors/dist_metrics.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/dist_metrics.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/typedefs.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/typedefs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/metrics/pairwise_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/tree/_tree.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_12BestSplitter_node_split':
sklearn/tree/_tree.c:8870:26: warning: '__pyx_v_best_threshold' may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_threshold[0]) = __pyx_v_best_threshold;
^
sklearn/tree/_tree.c:8861:24: warning: '__pyx_v_best_feature' may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_feature[0]) = __pyx_v_best_feature;
^
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_14RandomSplitter_node_split':
sklearn/tree/_tree.c:10147:26: warning: '__pyx_v_best_threshold' may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_threshold[0]) = __pyx_v_best_threshold;
^
sklearn/tree/_tree.c:10138:24: warning: '__pyx_v_best_feature' may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_feature[0]) = __pyx_v_best_feature;
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/_hmmc.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_hmmc.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/_hmmc.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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._isotonic' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/_isotonic.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/_isotonic.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/linear_model/cd_fast.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/linear_model/sgd_fast.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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._min_spanning_tree' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_min_spanning_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_min_spanning_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_min_spanning_tree.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_min_spanning_tree.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_min_spanning_tree.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.so
building 'sklearn.utils.sparsetools._traversal' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_traversal.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsetools/_graph_tools.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so
building 'sklearn.utils.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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arraybuilder.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arraybuilder.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/arraybuilder.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsefuncs.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/arrayfuncs.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/murmurhash.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
compiling C++ sources
C compiler: c++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/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/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/graph_shortest_path.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/seq_dataset.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/weight_vector.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/random.c:352:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/random.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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.utils._logistic_sigmoid' 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/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/_logistic_sigmoid.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
_import_umath(void)
^
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/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
dh_auto_test -a -O--buildsystem=python_distutils
fakeroot debian/rules binary-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh binary-arch --buildsystem=python_distutils --with python2,autoreconf
dh_testroot -a -O--buildsystem=python_distutils
dh_prep -a -O--buildsystem=python_distutils
debian/rules override_dh_auto_install
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
python2.7 setup.py install --install-layout=deb --root=debian/python-sklearn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
Partial import of sklearn during the build process.
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
openblas_info:
libraries 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/python2.7/dist-packages/numpy/distutils/system_info.py:1521: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1530: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1533: 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:58: 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:77: 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._min_spanning_tree" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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.utils._logistic_sigmoid" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.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._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.utils.sparsetools._min_spanning_tree" sources
building extension "sklearn.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
running install_lib
creating 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/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
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
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/test_spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/test_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/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/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/cca_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/pls_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
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
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/truncated_svd.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
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_truncated_svd.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
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/weight_boosting.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_gradient_boosting_loss_functions.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/tests/test_weight_boosting.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/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/from_model.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_base.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_from_model.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
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/_graph_validation.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/_min_spanning_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.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_class_weight.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_linear_assignment.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_multiclass.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/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/linear_assignment_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/multiclass.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
copying build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.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/six.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/kde.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
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/rbm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/_weights.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/data.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/imputation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/label.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
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/scorer.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
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_score_objects.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
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/bicluster_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests/test_bicluster_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/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/export.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_export.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_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
copying build/lib.linux-armv7l-2.7/sklearn/_isotonic.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/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/neural_network/rbm.py to rbm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_weights.py to _weights.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py to metrics.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_metrics.py to test_metrics.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/bicluster_metrics.py to bicluster_metrics.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests/test_bicluster_metrics.py to test_bicluster_metrics.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc
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_export.py to test_export.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_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-0.14.1.egg-info
running install_clib
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
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
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pls.py:7: DeprecationWarning: This module has been moved to cross_decomposition and will be removed in 0.16
"removed in 0.16", DeprecationWarning)
Test Dhillon's Spectral CoClustering on a simple problem. ... ok
Test Kluger methods on a checkerboard dataset. ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_scale_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_bistochastic_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_log_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_fit_best_piecewise ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_project_and_cluster ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_perfect_checkerboard ... /usr/lib/python2.7/dist-packages/scipy/sparse/linalg/eigen/arpack/arpack.py:1652: RuntimeWarning: invalid value encountered in sqrt
s = np.sqrt(eigvals)
ok
sklearn.cluster.bicluster.tests.test_spectral.test_errors ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_indicators ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_shape ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_submatrix ... ok
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
Tests the DBSCAN algorithm with balltree for neighbor calculation. ... ok
Test bad argument values: these should all raise ValueErrors ... 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_assignment_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
Non-regression: before fit, there should be not fitted attributes. ... 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:226: UserWarning: Graph is not fully connected, spectral embedding may not work 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:193: RuntimeWarning: invalid value encountered in multiply
* coefs)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:195: RuntimeWarning: invalid value encountered in multiply
* coefs)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:46: 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:47: RuntimeWarning: invalid value encountered in absolute
- np.abs(np.diag(precision_)).sum())
/usr/lib/python2.7/dist-packages/numpy/linalg/linalg.py:1676: RuntimeWarning: invalid value encountered in slogdet
sign, logdet = _umath_linalg.slogdet(a, signature=signature)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:33: 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:34: 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:207: 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_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:118: 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:139: 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:155: 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_multilabel_classification_return_indicator ... ok
sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok
sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok
sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok
sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok
sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok
sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok
sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok
sklearn.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
Test FastICA.fit_transform ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:269: UserWarning: Ignoring n_components with whiten=False.
warnings.warn('Ignoring n_components with whiten=False.')
ok
Test FastICA.inverse_transform ... 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_remove_zero_eig ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok
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
Test that transform works on sparse data. Issue #2124 ... 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 ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
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 ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py:110: DeprecationWarning: coef_init is now ignored and will be removed in 0.15. See enet_path function.
clf.fit(dictionary.T, X.T, coef_init=init)
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
sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok
sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok
sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok
sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok
sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok
sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok
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
Regression models should not have a classes_ attribute. ... 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
sklearn.ensemble.tests.test_forest.test_parallel_train ... 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
Test if oob_score is deprecated. ... ok
Test if oob improvement has correct shape and regression test. ... ok
Test if oob improvement has correct shape. ... ok
Check OOB improvement on multi-class dataset. ... ok
Check verbose=1 does not cause error. ... ok
Check verbose=2 does not cause error. ... ok
Check binomial deviance loss. ... ok
Check log odds estimator. ... 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.
Check classification on a toy dataset. ... ok
Check classification on a toy dataset. ... ok
Check consistency on dataset iris. ... ok
Check consistency on dataset boston house prices. ... ok
Check staged predictions. ... ok
Check that base trees can be grid-searched. ... ok
Check pickability. ... ok
Check variable importances. ... ok
Test that it gives proper exception on deficient input. ... ok
Test different base estimators. ... ok
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:319: 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_or_no_features ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:122: UserWarning: indices array has non-integer dtype (float64)
% self.indices.dtype.name)
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
sklearn.feature_selection.tests.test_base.test_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_get_support ... ok
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 replacement for scipy.stats.chisquare against the original. ... 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 k="all" correctly returns all features. ... 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:113: RuntimeWarning: invalid value encountered in divide
f = msb / msw
ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_from_model.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... 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
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_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_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:251: 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 logistic regression with the iris dataset ... ok
Test sparsify and densify members. ... 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_omp.test_omp_path ... ok
sklearn.linear_model.tests.test_omp.test_omp_cv ... ok
sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok
Classifier can be retrained on different labels and features. ... 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_singular ... 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
Tests the ridge object using individual penalties ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... 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:761: 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_multiclass (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 output 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_multiclass (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 output 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:418: UserWarning: Objective did not converge. You might want to increase the number of iterations
' to increase the number of iterations')
ok
sklearn.metrics.cluster.bicluster.tests.test_bicluster_metrics.test_jaccard ... ok
sklearn.metrics.cluster.bicluster.tests.test_bicluster_metrics.test_consensus_score ... 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 ... /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:178: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
a = empty(shape, dtype, order)
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:178: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
a = empty(shape, dtype, order)
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:178: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
a = empty(shape, dtype, order)
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:178: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
a = empty(shape, dtype, order)
ok
Check relation between v_measure, entropy and mutual information ... /«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
labels_a, labels_b = random_state.random_integers(0, 10, i),\
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
random_state.random_integers(0, 10, i)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
labels_a, labels_b = random_state.random_integers(0, 10, i),\
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
random_state.random_integers(0, 10, i)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
labels_a, labels_b = random_state.random_integers(0, 10, i),\
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
random_state.random_integers(0, 10, i)
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
labels_a, labels_b = random_state.random_integers(0, 10, i),\
/«PKGBUILDDIR»/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
random_state.random_integers(0, 10, i)
ok
Tests the Silhouette Coefficient. ... ok
Assert Silhouette Coefficient != nan when there is 1 sample in a class. ... /usr/lib/python2.7/dist-packages/numpy/core/_methods.py:55: RuntimeWarning: Mean of empty slice.
warnings.warn("Mean of empty slice.", RuntimeWarning)
/usr/lib/python2.7/dist-packages/numpy/core/_methods.py:67: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / 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
sklearn.metrics.tests.test_metrics.test_roc_curve_one_label ... 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 that roc_auc_score function returns an error when trying to compute AUC ... ok
Test Precision Recall and F1 Score for binary classification task ... ok
Test precision, recall and F1 score behave with a single positive or ... 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_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_classification_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_sample_order_invariance ... ok
sklearn.metrics.tests.test_metrics.test_format_invariance_with_1d_vectors ... ok
Ensure that classification metrics with string labels ... ok
Non-regression test: scores should work with a single sample. ... ok
sklearn.metrics.tests.test_metrics.test_hinge_loss_binary ... 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
sklearn.metrics.tests.test_metrics.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_zero_one_loss_subset ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_multiclasss_classification ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_multilabel_classification ... ok
Test precision_recall_f1_score on a crafted multilabel example ... ok
Test precision_recall_f1_score on a crafted multilabel example 2 ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_f1_score_with_an_empty_prediction ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_f1_no_labels ... ok
Check that _check_clf_targets correctly merges target types, squeezes ... ok
sklearn.metrics.tests.test_metrics.test__check_reg_targets ... ok
sklearn.metrics.tests.test_metrics.test_log_loss ... 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
Ensures that type float32 is preserved. ... ok
Sanity check on the make_scorer factory function. ... ok
Test classification scorers. ... ok
Test regression scorers. ... ok
Test scorers that take thresholds. ... ok
Test clustering scorers against gold standard labeling. ... ok
Test that when a list of scores is returned, we raise proper errors. ... 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) ... 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) ... 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
sklearn.svm.tests.test_sparse.test_consistent_proba ... 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
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
Check correctness of export_graphviz ... ok
Check for errors of export_graphviz ... 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 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
Check max_features. ... ok
Test that it gives proper exception on deficient input. ... ok
Test if leaves contain more than leaf_count training examples ... ok
Check that tree estimator are pickable ... ok
Check estimators on multi-output problems. ... ok
Test that n_classes_ and classes_ have proper shape. ... ok
Check class rebalancing. ... ok
Check that it works no matter the memory layout ... ok
Check sample weighting. ... ok
Check if 32bit and 64bit get the same result. ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
Test (and demo) compute_class_weight. ... ok
Test compute_class_weight in case y doesn't contain all classes. ... 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
Check correctness and robustness of logistic sigmoid implementation ... ok
sklearn.utils.tests.test_fixes.test_in1d ... ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_copysign ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_is_label_indicator_matrix ... ok
sklearn.utils.tests.test_multiclass.test_is_sequence_of_sequences ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... 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_sparsefuncs.test_densify_rows ... ok
test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok
test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok
sklearn.utils.tests.test_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_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
sklearn.utils.tests.test_utils.test_column_or_1d ... 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
Check that ordering is enforced correctly by validation utilities. ... 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_get_params_deprecated ... 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_all_estimator_no_base_class ... ok
sklearn.tests.test_common.test_estimators_sparse_data ... ok
sklearn.tests.test_common.test_transformers ... ok
sklearn.tests.test_common.test_transformers_sparse_data ... ok
sklearn.tests.test_common.test_estimators_nan_inf ... ok
sklearn.tests.test_common.test_transformers_pickle ... 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 ... ok
sklearn.tests.test_common.test_classifiers_input_shapes ... ok
sklearn.tests.test_common.test_classifiers_pickle ... ok
sklearn.tests.test_common.test_regressors_int ... ok
sklearn.tests.test_common.test_regressors_train ... ok
sklearn.tests.test_common.test_regressor_pickle ... 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 ... ok
sklearn.tests.test_common.test_cluster_overwrite_params ... ok
sklearn.tests.test_common.test_import_all_consistency ... ok
sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok
sklearn.tests.test_cross_validation.test_kfold_indices ... ok
sklearn.tests.test_cross_validation.test_kfold_balance ... 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
Check that LeaveOneLabelOut and LeavePLabelOut work normally if ... 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_cross_val_generator_mask_indices_same ... 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 basic properties of ParameterGrid. ... 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
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
Test search over a "grid" with only one point. ... 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_iid ... ok
sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok
Test that grid search works with both dense and sparse matrices ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_deprecated_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
sklearn.tests.test_grid_search.test_param_sampler ... ok
sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok
sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok
Test that a fit search can be pickled ... ok
Test search with multi-output estimator ... ok
test_attributes (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_decode_map_algorithm (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_score_samples (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_hmm_decode_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_hmm_score_samples_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_init (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_score_samples (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_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_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_attributes (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_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_attributes (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_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_bad_covariance_type (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_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_bad_covariance_type (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_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_bad_covariance_type (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_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_bad_covariance_type (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
test_score_samples_and_decode (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_isotonic_regression_reversed ... 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 ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
Non-regression: Nystroem should pass other parameters beside gamma. ... ok
Test Nystroem on a callable. ... 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_multilabel_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovr_pipeline ... ok
sklearn.tests.test_multiclass.test_ovr_coef_ ... ok
sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... ok
sklearn.tests.test_multiclass.test_ovo_ties2 ... ok
sklearn.tests.test_multiclass.test_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
Test Multinomial Naive Bayes classification. ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
Test picklability of discrete naive Bayes classifiers ... ok
Test input checks for the fit method ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... 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_deprecated_fit_param ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
coef_ and intercept_ should have shapes as in other linear models. ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... 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
QDA classification. ... ok
sklearn.tests.test_qda.test_qda_priors ... ok
sklearn.tests.test_qda.test_qda_store_covariances ... ok
sklearn.tests.test_qda.test_qda_regularization ... 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 1159 tests in 647.350s
OK (SKIP=15)
----------------------------------------------------------------------
Ran 0 tests in 0.577s
OK
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh override_dh_auto_install --buildsystem=python_distutils --with python2,autoreconf
make[1]: Leaving directory `/«PKGBUILDDIR»'
debian/rules override_dh_installdocs
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
: # Build Documentation using installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # 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
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
dh_installchangelogs doc/whats_new.rst
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Leaving directory `/«PKGBUILDDIR»'
debian/rules override_dh_python2
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Entering directory `/«PKGBUILDDIR»'
: # Move platform-specific libraries into -lib
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
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/_min_spanning_tree.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/sparsetools/_traversal.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/sparsetools/_graph_tools.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/utils/_logistic_sigmoid.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/neighbors/kd_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/neighbors/dist_metrics.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/neighbors/typedefs.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'.
Moving 'debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/_isotonic.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_python2
make[1]: Leaving directory `/«PKGBUILDDIR»'
dh_perl -a -O--buildsystem=python_distutils
dh_link -a -O--buildsystem=python_distutils
debian/rules override_dh_compress
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
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
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[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_0.14.1-3_armhf.deb'.
dpkg-genchanges -B -mRaspbian wandboard test autobuilder <root@raspbian.org> >../scikit-learn_0.14.1-3_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-0.14.1
dpkg-buildpackage: binary-only upload (no source included)
────────────────────────────────────────────────────────────────────────────────
Build finished at 20140519-0655
Finished
────────
I: Built successfully
┌──────────────────────────────────────────────────────────────────────────────┐
│ Changes │
└──────────────────────────────────────────────────────────────────────────────┘
scikit-learn_0.14.1-3_armhf.changes:
────────────────────────────────────
Format: 1.8
Date: Tue, 13 May 2014 10:07:58 -0400
Source: scikit-learn
Binary: python-sklearn python-sklearn-doc python-sklearn-lib python-scikits-learn
Architecture: armhf
Version: 0.14.1-3
Distribution: jessie-staging
Urgency: medium
Maintainer: Raspbian wandboard 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
Closes: 746096
Changes:
scikit-learn (0.14.1-3) unstable; urgency=medium
.
* Cherry-pick a workaround for FTBFS due to error in current scipy
(Closes: #746096)
Checksums-Sha1:
0119f38e21640a3423bde92dc793852a5da0ce5f 753546 python-sklearn-lib_0.14.1-3_armhf.deb
Checksums-Sha256:
041c38d372a3c4a780b5bda923b3fe231864fb3a0f31ca5762d17d74c362cbe5 753546 python-sklearn-lib_0.14.1-3_armhf.deb
Files:
55eda3323c6f1b439f0c2bf2e1139f6b 753546 python optional python-sklearn-lib_0.14.1-3_armhf.deb
┌──────────────────────────────────────────────────────────────────────────────┐
│ Package contents │
└──────────────────────────────────────────────────────────────────────────────┘
python-sklearn-lib_0.14.1-3_armhf.deb
─────────────────────────────────────
new debian package, version 2.0.
size 753546 bytes: control archive=1933 bytes.
701 bytes, 17 lines control
3629 bytes, 38 lines md5sums
Package: python-sklearn-lib
Source: scikit-learn
Version: 0.14.1-3
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 3516
Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.4.0), libstdc++6 (>= 4.3.0), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8)
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.
drwxr-xr-x root/root 0 2014-05-19 06:55 ./
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/share/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/share/doc/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/share/doc/python-sklearn-lib/
-rw-r--r-- root/root 2087 2013-08-08 18:05 ./usr/share/doc/python-sklearn-lib/AUTHORS.rst
-rw-r--r-- root/root 2585 2013-08-08 18:05 ./usr/share/doc/python-sklearn-lib/README.rst
-rw-r--r-- root/root 2994 2014-05-13 14:09 ./usr/share/doc/python-sklearn-lib/copyright
-rw-r--r-- root/root 3997 2014-05-13 14:09 ./usr/share/doc/python-sklearn-lib/changelog.Debian.gz
-rw-r--r-- root/root 23843 2013-08-08 18:05 ./usr/share/doc/python-sklearn-lib/changelog.gz
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/lib/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/lib/python2.7/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/lib/python2.7/dist-packages/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/lib/python2.7/dist-packages/sklearn/
drwxr-xr-x root/root 0 2014-05-19 06:55 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/
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┌──────────────────────────────────────────────────────────────────────────────┐
│ Post Build │
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┌──────────────────────────────────────────────────────────────────────────────┐
│ Cleanup │
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Purging /«BUILDDIR»
Not cleaning session: cloned chroot in use
┌──────────────────────────────────────────────────────────────────────────────┐
│ Summary │
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Build Architecture: armhf
Build-Space: 75992
Build-Time: 2152
Distribution: jessie-staging
Host Architecture: armhf
Install-Time: 746
Job: scikit-learn_0.14.1-3
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 2960
Source-Version: 0.14.1-3
Space: 75992
Status: successful
Version: 0.14.1-3
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Finished at 20140519-0655
Build needed 00:49:20, 75992k disc space